IRL Utilities
Project description
IRL Utilities
Installation
git
git clone https://github.com/uiowa-irl/uiowa-irl-utils.git
cd uiowa-irl-utils
pip install --user .
pypi
pip install irlutils
import the module:
import irlutils
Documentation
file_utils
FUNCTIONS
gen_find_files(**kwargs)
returns filenames that matches the given pattern under() a given dir
Kwargs:
file_pattern (str): a regex style string .
root (str): top level folder to begin search from.
Yields:
path (generator): matching path str
Examples:
gen_find_files(file_pattern="*.sql", root="/mnt/data/).
>>> gen_find_files(file_pattern="*.sql", root="/mnt/data/).__next__()
/mnt/data/first_folder/last_folder/file.sqlite
Reference:
[1] http://www.dabeaz.com/generators/
json_flatten(y)
flattens nested structures within a json file
Kwargs:
data (dict): data from nested dictionary
kv (dict): dictionary containing key,value pairs.
returns:
kv (dict): a dictionary object containing flattened structures
Examples:
data = {'k1':{'kv1':['v1', 'v2'], 'kv2': 'v3'}}
>>> json_flatten(data)
{'k1_kv1_0': 'v1', 'k1_kv1_1': 'v2', 'k1_kv2': 'v3'}
rmsubtree(**kwargs)
Clears all subfolders and files in location
kwargs:
location (str): target directory to remove
Examples:
>>> rmsubtree(location="/path/to/target_dir").
tar_unpacker(**kwargs)
unpacks tar to a tmp directory.
Kwargs:
tar_path (str): tar file path
versbose (bool): True enables verbose
returns:
tmp_path (generator): extracted contents path
Examples:
tar_unpacker(file_pattern="/mnt/data/tarfile.tar.gz").
>>> tar_unpacker(file_pattern="/mnt/data/tarfile.tar.gz").
/tmp/FZ4245_Zb/
AUTHOR
senorchow
FILE
irlutils/file/file_utils.py
database_utils
FUNCTIONS
build_index(cursor, column, tables)
Build an index on `column` for each table in `tables`
drop_tables(sqlite_con, tables=[])
fetchiter(cursor, arraysize=10000)
Generator for cursor results
get_channel_content(visit_id, channel_id, sqlite_cur, ldb_con, beautify=True)
Return javascript content for given channel_id.
Parameters
----------
visit_id : int
`visit_id` of the page visit where this URL was loaded
channel_id : string
`channel_id` to search content hash for
sqlite_cur : sqlite3.Cursor
cursor for crawl database
ldb_con : plyvel.DB
leveldb database storing javascript content
beautify : boolean
Control weather or not to beautify output
get_channel_content_with_hash(visit_id, channel_id, sqlite_cur, ldb_con, beautify=True)
Return javascript content for given channel_id.
Parameters
----------
visit_id : int
`visit_id` of the page visit where this URL was loaded
channel_id : string
`channel_id` to search content hash for
sqlite_cur : sqlite3.Cursor
cursor for crawl database
ldb_con : plyvel.DB
leveldb database storing javascript content
beautify : boolean
Control weather or not to beautify output
get_content(db, content_hash, compression='snappy', beautify=True)
Returns decompressed content from javascript leveldb database
get_ldb_content(ldb_addr, content_hash)
get_leveldb(db_path, compression='snappy')
Returns an open handle for a leveldb database
with proper configuration settings.
get_url_content(url, sqlite_cur, ldb_con, beautify=True, visit_id=None)
Return javascript content for given url.
Parameters
----------
url : string
url to search content hash for
sqlite_cur : sqlite3.Cursor
cursor for crawl database
ldb_con : plyvel.DB
leveldb database storing javascript content
beautify : boolean
Control weather or not to beautify output
visit_id : int
(optional) `visit_id` of the page visit where this URL was loaded
get_url_content_with_hash(url, sqlite_cur, ldb_con, beautify=True, visit_id=None)
Return javascript content for given url.
Parameters
----------
url : string
url to search content hash for
sqlite_cur : sqlite3.Cursor
cursor for crawl database
ldb_con : plyvel.DB
leveldb database storing javascript content
beautify : boolean
Control weather or not to beautify output
visit_id : int
(optional) `visit_id` of the page visit where this URL was loaded
list_placeholder(length, is_pg=False)
Returns a (?,?,?,?...) string of the desired length
optimize_db(cursor)
Set options to make sqlite more efficient on a high memory machine
FILE
irlutils/url/crawl/database_utils.py
domain_utils
FUNCTIONS
get_hostname(url)
strips out the hostname from a url
get_ps_plus_1(url, **kwargs)
Returns the PS+1 of the url. This will also return
an IP address if the hostname of the url is a valid
IP address.
An (optional) PublicSuffixList object can be passed with keyword arg 'psl',
otherwise a version cached in the system temp directory is used.
get_psl(location='public_suffix_list.dat')
Grabs an updated public suffix list.
get_stripped_query_string(url)
get_stripped_url(url, scheme=False)
Returns a url stripped to (scheme)?+hostname+path
get_stripped_urls(urls, scheme=False)
Returns a set (or list) of urls stripped to (scheme)?+hostname+path
hostname_subparts(url, include_ps=False, **kwargs)
Returns a list of slices of a url's hostname down to the PS+1
If `include_ps` is set, the hostname slices will include the public suffix
For example: http://a.b.c.d.com/path?query#frag would yield:
[a.b.c.d.com, b.c.d.com, c.d.com, d.com] if include_ps == False
[a.b.c.d.com, b.c.d.com, c.d.com, d.com, com] if include_ps == True
An (optional) PublicSuffixList object can be passed with keyword arg 'psl'.
otherwise a version cached in the system temp directory is used.
is_ip_address(hostname)
Check if the given string is a valid IP address
load_psl(function)
DATA
PSL_CACHE_LOC = 'public_suffix_list.dat'
absolute_import = _Feature((2, 5, 0, 'alpha', 1), (3, 0, 0, 'alpha', 0...
print_function = _Feature((2, 6, 0, 'alpha', 2), (3, 0, 0, 'alpha', 0)...
FILE
irlutils/url/crawl/domain_utils.py
blocklist_utils
FUNCTIONS
get_option_dict(request)
Build an options dict for BlockListParser
Parameters
----------
request : sqlite3.Row
A single HTTP request record pulled from OpenWPM's http_requests table
public_suffix_list : PublicSuffixList
An instance of PublicSuffixList()
BINARY_OPTIONS = [
"script",
"image",
"stylesheet",
"object",
"xmlhttprequest",
"object-subrequest",
"subdocument",
"document",
"elemhide",
"other",
"background",
"xbl",
"ping",
"dtd",
"media",
"third-party",
"match-case",
"collapse",
"donottrack",
]
Returns
-------
dict
An "options" dictionary for use with BlockListParser
refs: [1] https://github.com/MoonchildProductions/UXP/blob/master/dom/base/nsIContentPolicyBase.idl
[2] https://adblockplus.org/en/filters#options
[3]
FILE
irlutils/url/crawl/blocklist_utils.py
analysis_utils
FUNCTIONS
add_col_bare_script_url(js_df)
Add a col for script URL without scheme, www and query.
add_col_set_of_script_ps1s_from_call_stack(js_df)
map psls to call stack in scripts
Args:
js_df (pandas dataFrame): javascript table
add_col_set_of_script_urls_from_call_stack(js_df)
add_col_unix_timestamp(df)
datetime_from_iso(iso_date)
Convert from ISO.
get_cookie(headers)
A special case of parse headers that extracts only the cookie.
Args:
headers (list): http request headers
Returns:
item(string): name value pairs of a cookie
get_func_and_script_url_from_initiator(initiator)
Remove line number and column number from the initiator.
get_host_from_url(url)
get_initiator_from_call_stack(call_stack)
Return the bottom element of the call stack.
get_initiator_from_req_call_stack(req_call_stack)
Return the bottom element of a request call stack.
Request call stacks have an extra field (async_cause) at the end.
get_requests_from_visits(con, visit_ids)
Extact http requests matching visit_ids
Args:
con (sqlite3.connection): A connection to a sqlite data base
visit_ids (list): A list of ids for from each web visit
Returns:
df(pandas DataFrame): A table containing visits that conincide with http requests
get_responses_from_visits(con, visit_ids)
Extact http requests matching visit_ids
Args:
con (sqlite3.connection): A connection to a sqlite data base
visit_ids (list): A list of ids for from each web visit
Returns:
df(pandas DataFrame): A table containing visits that conincide with http responses
get_script_url_from_initiator(initiator)
Remove the scheme and query section of a URL.
get_script_urls_from_call_stack_as_set(call_stack)
Return the urls of the scripts involved in the call stack as a set.
get_set_cookie(header)
A special case of parse headers that returns 'Set-Cookies'
Args:
headers (string): http request headers
Returns:
item(string): name value pairs of Set Cookie field
get_set_of_script_hosts_from_call_stack(call_stack)
Return the urls of the scripts involved in the call stack.
get_set_of_script_ps1s_from_call_stack(script_urls, du)
extract a unique set of urls from a list of urls detected in scripts
Args:
script_urls (list): A list of urls extracted from javascripts
du (list): A domain utilities instance
Returns:
psls(set): a set of tld+1(string)
get_set_of_script_urls_from_call_stack(call_stack)
Return the urls of the scripts involved in the call stack as a
string.
parse_headers(header)
parses http header into kv pairs
Args:
headers (string): http request headers
Returns:
kv(dict): name value pairs of http headers
strip_scheme_www_and_query(url)
Remove the scheme and query section of a URL.
DATA
absolute_import = _Feature((2, 5, 0, 'alpha', 1), (3, 0, 0, 'alpha', 0...
print_function = _Feature((2, 6, 0, 'alpha', 2), (3, 0, 0, 'alpha', 0)...
FILE
irlutils/url/crawl/analysis_utils.py
chi2_proportions
FUNCTIONS
chi2Proportions(count, nobs)
A wrapper for the chi2 testing proportions based upon the chi-square test
Args:
count (:obj `list` of :obj`int` or a single `int`): the number of successes in nobs trials. If this is
array_like, then the assumption is that this represents the number of successes
for each independent sample
nobs (:obj `list` of :obj`int` or a single `int`): The number of trials or observations, with the same length as count.
Returns:
chi2 (:obj `float`): The test statistic.
p (:obj `float`): The p-value of the test
dof (int) : Degrees of freedom
expected (:obj `list`): list same shape as observed. The expected frequencies, based on the marginal sums of the table
References:
[1] "scipy.stats.chi2_contingency" https://docs.scipy.org/doc/scipy/reference/generated/scipy.stats.chi2_contingency.html
[2] "statsmodels.stats.proportion.proportions_chisquare" https://www.statsmodels.org/dev/generated/statsmodels.stats.proportion.proportions_chisquare.html
[3] (1, 2) “Contingency table”, https://en.wikipedia.org/wiki/Contingency_table
[4] (1, 2) “Pearson’s chi-squared test”, https://en.wikipedia.org/wiki/Pearson%27s_chi-squared_test
[5] (1, 2) Cressie, N. and Read, T. R. C., “Multinomial Goodness-of-Fit Tests”, J. Royal Stat. Soc. Series B, Vol. 46, No. 3 (1984), pp. 440-464.
Sample use:
input:
[10,10,20] - number of successes in trial
[20,20,20] - number of trials
chi2Proportions([10,10,20], [20,20,20])
output:
(2.7777777777777777,
0.24935220877729619,
2,
array([[ 12., 12., 16.],
[ 18., 18., 24.]]))
FILE
irlutils/stats/tests/proportions/chi2_proportions.py
Help on module file_utils:
NAME file_utils
FUNCTIONS chmod(path, mode=777, recursive=False)
chownUser(path, recursive=False, owner='user', group='user')
compress_path(path)
cp(s, d)
file_ext(path, **kwargs)
file extension finder
kwargs:
path (str): path or file name
Returns:
dotted file extension of a file
Examples:
>>> file_ext('/path/to_file/with_ext/test.py')
.py
gen_find_files(**kwargs)
returns filenames that matches the given pattern under() a given dir
Kwargs:
file_pattern (str): a regex style string .
root (str): top level folder to begin search from.
Yields:
path (generator): matching path str
Examples:
gen_find_files(file_pattern="*.sql", root="/mnt/data/).
>>> gen_find_files(file_pattern="*.sql", root="/mnt/data/).__next__()
/mnt/data/first_folder/last_folder/file.sqlite
Reference:
[1] http://www.dabeaz.com/generators/
json_flatten(y)
flattens nested structures within a json file
Kwargs:
data (dict): data from nested dictionary
kv (dict): dictionary containing key,value pairs.
returns:
kv (dict): a dictionary object containing flattened structures
Examples:
data = {'k1':{'kv1':['v1', 'v2'], 'kv2': 'v3'}}
>>> json_flatten(data)
{'k1_kv1_0': 'v1', 'k1_kv1_1': 'v2', 'k1_kv2': 'v3'}
mkdir(d, mode=511, exist_ok=True)
mv(s, d)
rm(self, d)
rmsubtree(**kwargs)
Clears all subfolders and files in location
kwargs:
location (str): target directory to remove
Examples:
>>> rmsubtree(location="/path/to/target_dir").
tar_packer(tar_dir, **kwargs)
tars up directory
Kwargs:
dir (str): top level dir
compression (bool): compression type. gz, xz supported now
versbose (bool): True enables verbose
returns:
tar_path (generator): path to tar file
Examples:
tar_packer(dir="/path/to/top_level_dir", [compression=gz|xz]
>>>
/tmp/FZ4245_Zb/top_level_dir.tar
tar_unpacker(tar_path, **kwargs)
unpacks tar to a tmp directory.
Kwargs:
tar_path (str): tar file path
versbose (bool): True enables verbose
returns:
tmp_path (generator): extracted contents path
Examples:
tar_unpacker(tar_path="/mnt/data/tarfile.tar.gz").
>>> tar_unpacker(tar_path="/mnt/data/tarfile.tar.gz").
/tmp/FZ4245_Zb/
touch(self, d)
DATA DBG = <lcdk.lcdk.lcdk object>
AUTHOR johncook
FILE /Users/johncook/git/uiowa-irl-utils/irlutils/file/file_utils.py
Help on module database_utils:
NAME database_utils
FUNCTIONS
build_index(cursor, column, tables)
Build an index on column for each table in tables
drop_tables(sqlite_con, tables=[])
fetchiter(cursor, arraysize=10000)
Generator for cursor results
get_channel_content(visit_id, channel_id, sqlite_cur, ldb_con, beautify=True)
Return javascript content for given channel_id.
Parameters
----------
visit_id : int
`visit_id` of the page visit where this URL was loaded
channel_id : string
`channel_id` to search content hash for
sqlite_cur : sqlite3.Cursor
cursor for crawl database
ldb_con : plyvel.DB
leveldb database storing javascript content
beautify : boolean
Control weather or not to beautify output
get_channel_content_with_hash(visit_id, channel_id, sqlite_cur, ldb_con, beautify=True)
Return javascript content for given channel_id.
Parameters
----------
visit_id : int
`visit_id` of the page visit where this URL was loaded
channel_id : string
`channel_id` to search content hash for
sqlite_cur : sqlite3.Cursor
cursor for crawl database
ldb_con : plyvel.DB
leveldb database storing javascript content
beautify : boolean
Control weather or not to beautify output
get_content(db, content_hash, compression='snappy', beautify=True)
Returns decompressed content from javascript leveldb database
get_ldb_content(ldb_addr, content_hash)
get_leveldb(db_path, compression='snappy')
Returns an open handle for a leveldb database
with proper configuration settings.
get_url_content(url, sqlite_cur, ldb_con, beautify=True, visit_id=None)
Return javascript content for given url.
Parameters
----------
url : string
url to search content hash for
sqlite_cur : sqlite3.Cursor
cursor for crawl database
ldb_con : plyvel.DB
leveldb database storing javascript content
beautify : boolean
Control weather or not to beautify output
visit_id : int
(optional) `visit_id` of the page visit where this URL was loaded
get_url_content_with_hash(url, sqlite_cur, ldb_con, beautify=True, visit_id=None)
Return javascript content for given url.
Parameters
----------
url : string
url to search content hash for
sqlite_cur : sqlite3.Cursor
cursor for crawl database
ldb_con : plyvel.DB
leveldb database storing javascript content
beautify : boolean
Control weather or not to beautify output
visit_id : int
(optional) `visit_id` of the page visit where this URL was loaded
list_placeholder(length, is_pg=False)
Returns a (?,?,?,?...) string of the desired length
optimize_db(cursor)
Set options to make sqlite more efficient on a high memory machine
FILE /Users/johncook/git/uiowa-irl-utils/irlutils/url/crawl/database_utils.py
problem in irlutils/url/crawl/domain_utils.py - ModuleNotFoundError: No module named 'publicsuffix2' problem in irlutils/url/crawl/blocklist_utils.py - ModuleNotFoundError: No module named 'publicsuffix2' Help on module analysis_utils:
NAME analysis_utils
FUNCTIONS add_col_bare_script_url(js_df) Add a col for script URL without scheme, www and query.
add_col_set_of_script_ps1s_from_call_stack(js_df)
map psls to call stack in scripts
Args:
js_df (pandas dataFrame): javascript table
add_col_set_of_script_urls_from_call_stack(js_df)
add_col_unix_timestamp(df)
datetime_from_iso(iso_date)
Convert from ISO.
get_cookie(headers)
A special case of parse headers that extracts only the cookie.
Args:
headers (list): http request headers
Returns:
item(string): name value pairs of a cookie
get_func_and_script_url_from_initiator(initiator)
Remove line number and column number from the initiator.
get_host_from_url(url)
get_initiator_from_call_stack(call_stack)
Return the bottom element of the call stack.
get_initiator_from_req_call_stack(req_call_stack)
Return the bottom element of a request call stack.
Request call stacks have an extra field (async_cause) at the end.
get_requests_from_visits(con, visit_ids)
Extact http requests matching visit_ids
Args:
con (sqlite3.connection): A connection to a sqlite data base
visit_ids (list): A list of ids for from each web visit
Returns:
df(pandas DataFrame): A table containing visits that conincide with http requests
get_responses_from_visits(con, visit_ids)
Extact http requests matching visit_ids
Args:
con (sqlite3.connection): A connection to a sqlite data base
visit_ids (list): A list of ids for from each web visit
Returns:
df(pandas DataFrame): A table containing visits that conincide with http responses
get_script_url_from_initiator(initiator)
Remove the scheme and query section of a URL.
get_script_urls_from_call_stack_as_set(call_stack)
Return the urls of the scripts involved in the call stack as a set.
get_set_cookie(header)
A special case of parse headers that returns 'Set-Cookies'
Args:
headers (string): http request headers
Returns:
item(string): name value pairs of Set Cookie field
get_set_of_script_hosts_from_call_stack(call_stack)
Return the urls of the scripts involved in the call stack.
get_set_of_script_ps1s_from_call_stack(script_urls, du)
extract a unique set of urls from a list of urls detected in scripts
Args:
script_urls (list): A list of urls extracted from javascripts
du (list): A domain utilities instance
Returns:
psls(set): a set of tld+1(string)
get_set_of_script_urls_from_call_stack(call_stack)
Return the urls of the scripts involved in the call stack as a
string.
parse_headers(header)
parses http header into kv pairs
Args:
headers (string): http request headers
Returns:
kv(dict): name value pairs of http headers
strip_scheme_www_and_query(url)
Remove the scheme and query section of a URL.
DATA absolute_import = _Feature((2, 5, 0, 'alpha', 1), (3, 0, 0, 'alpha', 0... print_function = _Feature((2, 6, 0, 'alpha', 2), (3, 0, 0, 'alpha', 0)...
FILE /Users/johncook/git/uiowa-irl-utils/irlutils/url/crawl/analysis_utils.py
Help on module chi2_proportions:
NAME chi2_proportions
FUNCTIONS chi2Proportions(count, nobs) A wrapper for the chi2 testing proportions based upon the chi-square test
Args:
count (:obj `list` of :obj`int` or a single `int`): the number of successes in nobs trials. If this is
array_like, then the assumption is that this represents the number of successes
for each independent sample
nobs (:obj `list` of :obj`int` or a single `int`): The number of trials or observations, with the same length as count.
Returns:
chi2 (:obj `float`): The test statistic.
p (:obj `float`): The p-value of the test
dof (int) : Degrees of freedom
expected (:obj `list`): list same shape as observed. The expected frequencies, based on the marginal sums of the table
References:
[1] "scipy.stats.chi2_contingency" https://docs.scipy.org/doc/scipy/reference/generated/scipy.stats.chi2_contingency.html
[2] "statsmodels.stats.proportion.proportions_chisquare" https://www.statsmodels.org/dev/generated/statsmodels.stats.proportion.proportions_chisquare.html
[3] (1, 2) “Contingency table”, https://en.wikipedia.org/wiki/Contingency_table
[4] (1, 2) “Pearson’s chi-squared test”, https://en.wikipedia.org/wiki/Pearson%27s_chi-squared_test
[5] (1, 2) Cressie, N. and Read, T. R. C., “Multinomial Goodness-of-Fit Tests”, J. Royal Stat. Soc. Series B, Vol. 46, No. 3 (1984), pp. 440-464.
Sample use:
input:
[10,10,20] - number of successes in trial
[20,20,20] - number of trials
chi2Proportions([10,10,20], [20,20,20])
output:
(2.7777777777777777,
0.24935220877729619,
2,
array([[ 12., 12., 16.],
[ 18., 18., 24.]]))
FILE /Users/johncook/git/uiowa-irl-utils/irlutils/stats/tests/proportions/chi2_proportions.py
Help on module file_utils:
NAME file_utils
FUNCTIONS chmod(path, mode=777, recursive=False)
chownUser(path, recursive=False, owner='user', group='user')
compress_path(path)
cp(s, d)
file_ext(path, **kwargs)
file extension finder
kwargs:
path (str): path or file name
Returns:
dotted file extension of a file
Examples:
>>> file_ext('/path/to_file/with_ext/test.py')
.py
gen_find_files(**kwargs)
returns filenames that matches the given pattern under() a given dir
Kwargs:
file_pattern (str): a regex style string .
root (str): top level folder to begin search from.
Yields:
path (generator): matching path str
Examples:
gen_find_files(file_pattern="*.sql", root="/mnt/data/).
>>> gen_find_files(file_pattern="*.sql", root="/mnt/data/).__next__()
/mnt/data/first_folder/last_folder/file.sqlite
Reference:
[1] http://www.dabeaz.com/generators/
json_flatten(y)
flattens nested structures within a json file
Kwargs:
data (dict): data from nested dictionary
kv (dict): dictionary containing key,value pairs.
returns:
kv (dict): a dictionary object containing flattened structures
Examples:
data = {'k1':{'kv1':['v1', 'v2'], 'kv2': 'v3'}}
>>> json_flatten(data)
{'k1_kv1_0': 'v1', 'k1_kv1_1': 'v2', 'k1_kv2': 'v3'}
mkdir(d, mode=511, exist_ok=True)
mv(s, d)
rm(d)
rmsubtree(**kwargs)
Clears all subfolders and files in location
kwargs:
location (str): target directory to remove
Examples:
>>> rmsubtree(location="/path/to/target_dir").
tar_packer(tar_dir, **kwargs)
tars up directory
Kwargs:
dir (str): top level dir
compression (bool): compression type. gz, xz supported now
versbose (bool): True enables verbose
returns:
tar_path (generator): path to tar file
Examples:
tar_packer(dir="/path/to/top_level_dir", [compression=gz|xz]
>>>
/tmp/FZ4245_Zb/top_level_dir.tar
tar_unpacker(tar_path, **kwargs)
unpacks tar to a tmp directory.
Kwargs:
tar_path (str): tar file path
versbose (bool): True enables verbose
returns:
tmp_path (generator): extracted contents path
Examples:
tar_unpacker(tar_path="/mnt/data/tarfile.tar.gz").
>>> tar_unpacker(tar_path="/mnt/data/tarfile.tar.gz").
/tmp/FZ4245_Zb/
touch(d)
DATA DBG = <lcdk.lcdk.lcdk object>
AUTHOR johncook
FILE /Users/johncook/git/uiowa-irl-utils/irlutils/file/file_utils.py
Help on module database_utils:
NAME database_utils
FUNCTIONS
build_index(cursor, column, tables)
Build an index on column for each table in tables
drop_tables(sqlite_con, tables=[])
fetchiter(cursor, arraysize=10000)
Generator for cursor results
get_channel_content(visit_id, channel_id, sqlite_cur, ldb_con, beautify=True)
Return javascript content for given channel_id.
Parameters
----------
visit_id : int
`visit_id` of the page visit where this URL was loaded
channel_id : string
`channel_id` to search content hash for
sqlite_cur : sqlite3.Cursor
cursor for crawl database
ldb_con : plyvel.DB
leveldb database storing javascript content
beautify : boolean
Control weather or not to beautify output
get_channel_content_with_hash(visit_id, channel_id, sqlite_cur, ldb_con, beautify=True)
Return javascript content for given channel_id.
Parameters
----------
visit_id : int
`visit_id` of the page visit where this URL was loaded
channel_id : string
`channel_id` to search content hash for
sqlite_cur : sqlite3.Cursor
cursor for crawl database
ldb_con : plyvel.DB
leveldb database storing javascript content
beautify : boolean
Control weather or not to beautify output
get_content(db, content_hash, compression='snappy', beautify=True)
Returns decompressed content from javascript leveldb database
get_ldb_content(ldb_addr, content_hash)
get_leveldb(db_path, compression='snappy')
Returns an open handle for a leveldb database
with proper configuration settings.
get_url_content(url, sqlite_cur, ldb_con, beautify=True, visit_id=None)
Return javascript content for given url.
Parameters
----------
url : string
url to search content hash for
sqlite_cur : sqlite3.Cursor
cursor for crawl database
ldb_con : plyvel.DB
leveldb database storing javascript content
beautify : boolean
Control weather or not to beautify output
visit_id : int
(optional) `visit_id` of the page visit where this URL was loaded
get_url_content_with_hash(url, sqlite_cur, ldb_con, beautify=True, visit_id=None)
Return javascript content for given url.
Parameters
----------
url : string
url to search content hash for
sqlite_cur : sqlite3.Cursor
cursor for crawl database
ldb_con : plyvel.DB
leveldb database storing javascript content
beautify : boolean
Control weather or not to beautify output
visit_id : int
(optional) `visit_id` of the page visit where this URL was loaded
list_placeholder(length, is_pg=False)
Returns a (?,?,?,?...) string of the desired length
optimize_db(cursor)
Set options to make sqlite more efficient on a high memory machine
FILE /Users/johncook/git/uiowa-irl-utils/irlutils/url/crawl/database_utils.py
problem in irlutils/url/crawl/domain_utils.py - ModuleNotFoundError: No module named 'publicsuffix2' problem in irlutils/url/crawl/blocklist_utils.py - ModuleNotFoundError: No module named 'publicsuffix2' Help on module analysis_utils:
NAME analysis_utils
FUNCTIONS add_col_bare_script_url(js_df) Add a col for script URL without scheme, www and query.
add_col_set_of_script_ps1s_from_call_stack(js_df)
map psls to call stack in scripts
Args:
js_df (pandas dataFrame): javascript table
add_col_set_of_script_urls_from_call_stack(js_df)
add_col_unix_timestamp(df)
datetime_from_iso(iso_date)
Convert from ISO.
get_cookie(headers)
A special case of parse headers that extracts only the cookie.
Args:
headers (list): http request headers
Returns:
item(string): name value pairs of a cookie
get_func_and_script_url_from_initiator(initiator)
Remove line number and column number from the initiator.
get_host_from_url(url)
get_initiator_from_call_stack(call_stack)
Return the bottom element of the call stack.
get_initiator_from_req_call_stack(req_call_stack)
Return the bottom element of a request call stack.
Request call stacks have an extra field (async_cause) at the end.
get_requests_from_visits(con, visit_ids)
Extact http requests matching visit_ids
Args:
con (sqlite3.connection): A connection to a sqlite data base
visit_ids (list): A list of ids for from each web visit
Returns:
df(pandas DataFrame): A table containing visits that conincide with http requests
get_responses_from_visits(con, visit_ids)
Extact http requests matching visit_ids
Args:
con (sqlite3.connection): A connection to a sqlite data base
visit_ids (list): A list of ids for from each web visit
Returns:
df(pandas DataFrame): A table containing visits that conincide with http responses
get_script_url_from_initiator(initiator)
Remove the scheme and query section of a URL.
get_script_urls_from_call_stack_as_set(call_stack)
Return the urls of the scripts involved in the call stack as a set.
get_set_cookie(header)
A special case of parse headers that returns 'Set-Cookies'
Args:
headers (string): http request headers
Returns:
item(string): name value pairs of Set Cookie field
get_set_of_script_hosts_from_call_stack(call_stack)
Return the urls of the scripts involved in the call stack.
get_set_of_script_ps1s_from_call_stack(script_urls, du)
extract a unique set of urls from a list of urls detected in scripts
Args:
script_urls (list): A list of urls extracted from javascripts
du (list): A domain utilities instance
Returns:
psls(set): a set of tld+1(string)
get_set_of_script_urls_from_call_stack(call_stack)
Return the urls of the scripts involved in the call stack as a
string.
parse_headers(header)
parses http header into kv pairs
Args:
headers (string): http request headers
Returns:
kv(dict): name value pairs of http headers
strip_scheme_www_and_query(url)
Remove the scheme and query section of a URL.
DATA absolute_import = _Feature((2, 5, 0, 'alpha', 1), (3, 0, 0, 'alpha', 0... print_function = _Feature((2, 6, 0, 'alpha', 2), (3, 0, 0, 'alpha', 0)...
FILE /Users/johncook/git/uiowa-irl-utils/irlutils/url/crawl/analysis_utils.py
Help on module chi2_proportions:
NAME chi2_proportions
FUNCTIONS chi2Proportions(count, nobs) A wrapper for the chi2 testing proportions based upon the chi-square test
Args:
count (:obj `list` of :obj`int` or a single `int`): the number of successes in nobs trials. If this is
array_like, then the assumption is that this represents the number of successes
for each independent sample
nobs (:obj `list` of :obj`int` or a single `int`): The number of trials or observations, with the same length as count.
Returns:
chi2 (:obj `float`): The test statistic.
p (:obj `float`): The p-value of the test
dof (int) : Degrees of freedom
expected (:obj `list`): list same shape as observed. The expected frequencies, based on the marginal sums of the table
References:
[1] "scipy.stats.chi2_contingency" https://docs.scipy.org/doc/scipy/reference/generated/scipy.stats.chi2_contingency.html
[2] "statsmodels.stats.proportion.proportions_chisquare" https://www.statsmodels.org/dev/generated/statsmodels.stats.proportion.proportions_chisquare.html
[3] (1, 2) “Contingency table”, https://en.wikipedia.org/wiki/Contingency_table
[4] (1, 2) “Pearson’s chi-squared test”, https://en.wikipedia.org/wiki/Pearson%27s_chi-squared_test
[5] (1, 2) Cressie, N. and Read, T. R. C., “Multinomial Goodness-of-Fit Tests”, J. Royal Stat. Soc. Series B, Vol. 46, No. 3 (1984), pp. 440-464.
Sample use:
input:
[10,10,20] - number of successes in trial
[20,20,20] - number of trials
chi2Proportions([10,10,20], [20,20,20])
output:
(2.7777777777777777,
0.24935220877729619,
2,
array([[ 12., 12., 16.],
[ 18., 18., 24.]]))
FILE /Users/johncook/git/uiowa-irl-utils/irlutils/stats/tests/proportions/chi2_proportions.py
Help on module file_utils:
NAME file_utils
FUNCTIONS chmod(path, mode=777, recursive=False)
chownUser(path, recursive=False, owner='user', group='user')
compress_path(path)
cp(s, d)
file_ext(path, **kwargs)
file extension finder
kwargs:
path (str): path or file name
Returns:
dotted file extension of a file
Examples:
>>> file_ext('/path/to_file/with_ext/test.py')
.py
gen_find_files(**kwargs)
returns filenames that matches the given pattern under() a given dir
Kwargs:
file_pattern (str): a regex style string .
root (str): top level folder to begin search from.
Yields:
path (generator): matching path str
Examples:
gen_find_files(file_pattern="*.sql", root="/mnt/data/).
>>> gen_find_files(file_pattern="*.sql", root="/mnt/data/).__next__()
/mnt/data/first_folder/last_folder/file.sqlite
Reference:
[1] http://www.dabeaz.com/generators/
json_flatten(y)
flattens nested structures within a json file
Kwargs:
data (dict): data from nested dictionary
kv (dict): dictionary containing key,value pairs.
returns:
kv (dict): a dictionary object containing flattened structures
Examples:
data = {'k1':{'kv1':['v1', 'v2'], 'kv2': 'v3'}}
>>> json_flatten(data)
{'k1_kv1_0': 'v1', 'k1_kv1_1': 'v2', 'k1_kv2': 'v3'}
mkdir(d, mode=511, exist_ok=True)
mv(s, d)
rm(d)
rmsubtree(**kwargs)
Clears all subfolders and files in location
kwargs:
location (str): target directory to remove
Examples:
>>> rmsubtree(location="/path/to/target_dir").
tar_packer(tar_dir, **kwargs)
tars up directory
Kwargs:
dir (str): top level dir
compression (bool): compression type. gz, xz supported now
versbose (bool): True enables verbose
returns:
tar_path (generator): path to tar file
Examples:
tar_packer(dir="/path/to/top_level_dir", [compression=gz|xz]
>>>
/tmp/FZ4245_Zb/top_level_dir.tar
tar_unpacker(tar_path, **kwargs)
unpacks tar to a tmp directory.
Kwargs:
tar_path (str): tar file path
versbose (bool): True enables verbose
returns:
tmp_path (generator): extracted contents path
Examples:
tar_unpacker(tar_path="/mnt/data/tarfile.tar.gz").
>>> tar_unpacker(tar_path="/mnt/data/tarfile.tar.gz").
/tmp/FZ4245_Zb/
touch(d)
DATA DBG = <lcdk.lcdk.lcdk object>
AUTHOR johncook
FILE /Users/johncook/git/uiowa-irl-utils/irlutils/file/file_utils.py
Help on module database_utils:
NAME database_utils
FUNCTIONS
build_index(cursor, column, tables)
Build an index on column for each table in tables
drop_tables(sqlite_con, tables=[])
fetchiter(cursor, arraysize=10000)
Generator for cursor results
get_channel_content(visit_id, channel_id, sqlite_cur, ldb_con, beautify=True)
Return javascript content for given channel_id.
Parameters
----------
visit_id : int
`visit_id` of the page visit where this URL was loaded
channel_id : string
`channel_id` to search content hash for
sqlite_cur : sqlite3.Cursor
cursor for crawl database
ldb_con : plyvel.DB
leveldb database storing javascript content
beautify : boolean
Control weather or not to beautify output
get_channel_content_with_hash(visit_id, channel_id, sqlite_cur, ldb_con, beautify=True)
Return javascript content for given channel_id.
Parameters
----------
visit_id : int
`visit_id` of the page visit where this URL was loaded
channel_id : string
`channel_id` to search content hash for
sqlite_cur : sqlite3.Cursor
cursor for crawl database
ldb_con : plyvel.DB
leveldb database storing javascript content
beautify : boolean
Control weather or not to beautify output
get_content(db, content_hash, compression='snappy', beautify=True)
Returns decompressed content from javascript leveldb database
get_ldb_content(ldb_addr, content_hash)
get_leveldb(db_path, compression='snappy')
Returns an open handle for a leveldb database
with proper configuration settings.
get_url_content(url, sqlite_cur, ldb_con, beautify=True, visit_id=None)
Return javascript content for given url.
Parameters
----------
url : string
url to search content hash for
sqlite_cur : sqlite3.Cursor
cursor for crawl database
ldb_con : plyvel.DB
leveldb database storing javascript content
beautify : boolean
Control weather or not to beautify output
visit_id : int
(optional) `visit_id` of the page visit where this URL was loaded
get_url_content_with_hash(url, sqlite_cur, ldb_con, beautify=True, visit_id=None)
Return javascript content for given url.
Parameters
----------
url : string
url to search content hash for
sqlite_cur : sqlite3.Cursor
cursor for crawl database
ldb_con : plyvel.DB
leveldb database storing javascript content
beautify : boolean
Control weather or not to beautify output
visit_id : int
(optional) `visit_id` of the page visit where this URL was loaded
list_placeholder(length, is_pg=False)
Returns a (?,?,?,?...) string of the desired length
optimize_db(cursor)
Set options to make sqlite more efficient on a high memory machine
FILE /Users/johncook/git/uiowa-irl-utils/irlutils/url/crawl/database_utils.py
problem in irlutils/url/crawl/domain_utils.py - ModuleNotFoundError: No module named 'publicsuffix2' problem in irlutils/url/crawl/blocklist_utils.py - ModuleNotFoundError: No module named 'publicsuffix2' Help on module analysis_utils:
NAME analysis_utils
FUNCTIONS add_col_bare_script_url(js_df) Add a col for script URL without scheme, www and query.
add_col_set_of_script_ps1s_from_call_stack(js_df)
map psls to call stack in scripts
Args:
js_df (pandas dataFrame): javascript table
add_col_set_of_script_urls_from_call_stack(js_df)
add_col_unix_timestamp(df)
datetime_from_iso(iso_date)
Convert from ISO.
get_cookie(headers)
A special case of parse headers that extracts only the cookie.
Args:
headers (list): http request headers
Returns:
item(string): name value pairs of a cookie
get_func_and_script_url_from_initiator(initiator)
Remove line number and column number from the initiator.
get_host_from_url(url)
get_initiator_from_call_stack(call_stack)
Return the bottom element of the call stack.
get_initiator_from_req_call_stack(req_call_stack)
Return the bottom element of a request call stack.
Request call stacks have an extra field (async_cause) at the end.
get_requests_from_visits(con, visit_ids)
Extact http requests matching visit_ids
Args:
con (sqlite3.connection): A connection to a sqlite data base
visit_ids (list): A list of ids for from each web visit
Returns:
df(pandas DataFrame): A table containing visits that conincide with http requests
get_responses_from_visits(con, visit_ids)
Extact http requests matching visit_ids
Args:
con (sqlite3.connection): A connection to a sqlite data base
visit_ids (list): A list of ids for from each web visit
Returns:
df(pandas DataFrame): A table containing visits that conincide with http responses
get_script_url_from_initiator(initiator)
Remove the scheme and query section of a URL.
get_script_urls_from_call_stack_as_set(call_stack)
Return the urls of the scripts involved in the call stack as a set.
get_set_cookie(header)
A special case of parse headers that returns 'Set-Cookies'
Args:
headers (string): http request headers
Returns:
item(string): name value pairs of Set Cookie field
get_set_of_script_hosts_from_call_stack(call_stack)
Return the urls of the scripts involved in the call stack.
get_set_of_script_ps1s_from_call_stack(script_urls, du)
extract a unique set of urls from a list of urls detected in scripts
Args:
script_urls (list): A list of urls extracted from javascripts
du (list): A domain utilities instance
Returns:
psls(set): a set of tld+1(string)
get_set_of_script_urls_from_call_stack(call_stack)
Return the urls of the scripts involved in the call stack as a
string.
parse_headers(header)
parses http header into kv pairs
Args:
headers (string): http request headers
Returns:
kv(dict): name value pairs of http headers
strip_scheme_www_and_query(url)
Remove the scheme and query section of a URL.
DATA absolute_import = _Feature((2, 5, 0, 'alpha', 1), (3, 0, 0, 'alpha', 0... print_function = _Feature((2, 6, 0, 'alpha', 2), (3, 0, 0, 'alpha', 0)...
FILE /Users/johncook/git/uiowa-irl-utils/irlutils/url/crawl/analysis_utils.py
Help on module chi2_proportions:
NAME chi2_proportions
FUNCTIONS chi2Proportions(count, nobs) A wrapper for the chi2 testing proportions based upon the chi-square test
Args:
count (:obj `list` of :obj`int` or a single `int`): the number of successes in nobs trials. If this is
array_like, then the assumption is that this represents the number of successes
for each independent sample
nobs (:obj `list` of :obj`int` or a single `int`): The number of trials or observations, with the same length as count.
Returns:
chi2 (:obj `float`): The test statistic.
p (:obj `float`): The p-value of the test
dof (int) : Degrees of freedom
expected (:obj `list`): list same shape as observed. The expected frequencies, based on the marginal sums of the table
References:
[1] "scipy.stats.chi2_contingency" https://docs.scipy.org/doc/scipy/reference/generated/scipy.stats.chi2_contingency.html
[2] "statsmodels.stats.proportion.proportions_chisquare" https://www.statsmodels.org/dev/generated/statsmodels.stats.proportion.proportions_chisquare.html
[3] (1, 2) “Contingency table”, https://en.wikipedia.org/wiki/Contingency_table
[4] (1, 2) “Pearson’s chi-squared test”, https://en.wikipedia.org/wiki/Pearson%27s_chi-squared_test
[5] (1, 2) Cressie, N. and Read, T. R. C., “Multinomial Goodness-of-Fit Tests”, J. Royal Stat. Soc. Series B, Vol. 46, No. 3 (1984), pp. 440-464.
Sample use:
input:
[10,10,20] - number of successes in trial
[20,20,20] - number of trials
chi2Proportions([10,10,20], [20,20,20])
output:
(2.7777777777777777,
0.24935220877729619,
2,
array([[ 12., 12., 16.],
[ 18., 18., 24.]]))
FILE /Users/johncook/git/uiowa-irl-utils/irlutils/stats/tests/proportions/chi2_proportions.py
Help on module file_utils:
NAME file_utils
FUNCTIONS chmod(path, mode=777, recursive=False)
chown(path, recursive=False, owner='user', group='user')
compress_path(path)
cp(s, d)
file_ext(path, **kwargs)
file extension finder
kwargs:
path (str): path or file name
Returns:
dotted file extension of a file
Examples:
>>> file_ext('/path/to_file/with_ext/test.py')
.py
gen_find_files(**kwargs)
returns filenames that matches the given pattern under() a given dir
Kwargs:
file_pattern (str): a regex style string .
root (str): top level folder to begin search from.
Yields:
path (generator): matching path str
Examples:
gen_find_files(file_pattern="*.sql", root="/mnt/data/).
>>> gen_find_files(file_pattern="*.sql", root="/mnt/data/).__next__()
/mnt/data/first_folder/last_folder/file.sqlite
Reference:
[1] http://www.dabeaz.com/generators/
json_flatten(y)
flattens nested structures within a json file
Kwargs:
data (dict): data from nested dictionary
kv (dict): dictionary containing key,value pairs.
returns:
kv (dict): a dictionary object containing flattened structures
Examples:
data = {'k1':{'kv1':['v1', 'v2'], 'kv2': 'v3'}}
>>> json_flatten(data)
{'k1_kv1_0': 'v1', 'k1_kv1_1': 'v2', 'k1_kv2': 'v3'}
mkdir(d, mode=511, exist_ok=True)
mv(s, d)
rm(d)
rmsubtree(**kwargs)
Clears all subfolders and files in location
kwargs:
location (str): target directory to remove
Examples:
>>> rmsubtree(location="/path/to/target_dir").
tar_packer(tar_dir, **kwargs)
tars up directory
Kwargs:
dir (str): top level dir
compression (bool): compression type. gz, xz supported now
versbose (bool): True enables verbose
returns:
tar_path (generator): path to tar file
Examples:
tar_packer(dir="/path/to/top_level_dir", [compression=gz|xz]
>>>
/tmp/FZ4245_Zb/top_level_dir.tar
tar_unpacker(tar_path, **kwargs)
unpacks tar to a tmp directory.
Kwargs:
tar_path (str): tar file path
versbose (bool): True enables verbose
returns:
tmp_path (generator): extracted contents path
Examples:
tar_unpacker(tar_path="/mnt/data/tarfile.tar.gz").
>>> tar_unpacker(tar_path="/mnt/data/tarfile.tar.gz").
/tmp/FZ4245_Zb/
touch(d)
DATA DBG = <lcdk.lcdk.lcdk object>
AUTHOR johncook
FILE /Users/johncook/git/uiowa-irl-utils/irlutils/file/file_utils.py
Help on module database_utils:
NAME database_utils
FUNCTIONS
build_index(cursor, column, tables)
Build an index on column for each table in tables
drop_tables(sqlite_con, tables=[])
fetchiter(cursor, arraysize=10000)
Generator for cursor results
get_channel_content(visit_id, channel_id, sqlite_cur, ldb_con, beautify=True)
Return javascript content for given channel_id.
Parameters
----------
visit_id : int
`visit_id` of the page visit where this URL was loaded
channel_id : string
`channel_id` to search content hash for
sqlite_cur : sqlite3.Cursor
cursor for crawl database
ldb_con : plyvel.DB
leveldb database storing javascript content
beautify : boolean
Control weather or not to beautify output
get_channel_content_with_hash(visit_id, channel_id, sqlite_cur, ldb_con, beautify=True)
Return javascript content for given channel_id.
Parameters
----------
visit_id : int
`visit_id` of the page visit where this URL was loaded
channel_id : string
`channel_id` to search content hash for
sqlite_cur : sqlite3.Cursor
cursor for crawl database
ldb_con : plyvel.DB
leveldb database storing javascript content
beautify : boolean
Control weather or not to beautify output
get_content(db, content_hash, compression='snappy', beautify=True)
Returns decompressed content from javascript leveldb database
get_ldb_content(ldb_addr, content_hash)
get_leveldb(db_path, compression='snappy')
Returns an open handle for a leveldb database
with proper configuration settings.
get_url_content(url, sqlite_cur, ldb_con, beautify=True, visit_id=None)
Return javascript content for given url.
Parameters
----------
url : string
url to search content hash for
sqlite_cur : sqlite3.Cursor
cursor for crawl database
ldb_con : plyvel.DB
leveldb database storing javascript content
beautify : boolean
Control weather or not to beautify output
visit_id : int
(optional) `visit_id` of the page visit where this URL was loaded
get_url_content_with_hash(url, sqlite_cur, ldb_con, beautify=True, visit_id=None)
Return javascript content for given url.
Parameters
----------
url : string
url to search content hash for
sqlite_cur : sqlite3.Cursor
cursor for crawl database
ldb_con : plyvel.DB
leveldb database storing javascript content
beautify : boolean
Control weather or not to beautify output
visit_id : int
(optional) `visit_id` of the page visit where this URL was loaded
list_placeholder(length, is_pg=False)
Returns a (?,?,?,?...) string of the desired length
optimize_db(cursor)
Set options to make sqlite more efficient on a high memory machine
FILE /Users/johncook/git/uiowa-irl-utils/irlutils/url/crawl/database_utils.py
problem in irlutils/url/crawl/domain_utils.py - ModuleNotFoundError: No module named 'publicsuffix2' problem in irlutils/url/crawl/blocklist_utils.py - ModuleNotFoundError: No module named 'publicsuffix2' Help on module analysis_utils:
NAME analysis_utils
FUNCTIONS add_col_bare_script_url(js_df) Add a col for script URL without scheme, www and query.
add_col_set_of_script_ps1s_from_call_stack(js_df)
map psls to call stack in scripts
Args:
js_df (pandas dataFrame): javascript table
add_col_set_of_script_urls_from_call_stack(js_df)
add_col_unix_timestamp(df)
datetime_from_iso(iso_date)
Convert from ISO.
get_cookie(headers)
A special case of parse headers that extracts only the cookie.
Args:
headers (list): http request headers
Returns:
item(string): name value pairs of a cookie
get_func_and_script_url_from_initiator(initiator)
Remove line number and column number from the initiator.
get_host_from_url(url)
get_initiator_from_call_stack(call_stack)
Return the bottom element of the call stack.
get_initiator_from_req_call_stack(req_call_stack)
Return the bottom element of a request call stack.
Request call stacks have an extra field (async_cause) at the end.
get_requests_from_visits(con, visit_ids)
Extact http requests matching visit_ids
Args:
con (sqlite3.connection): A connection to a sqlite data base
visit_ids (list): A list of ids for from each web visit
Returns:
df(pandas DataFrame): A table containing visits that conincide with http requests
get_responses_from_visits(con, visit_ids)
Extact http requests matching visit_ids
Args:
con (sqlite3.connection): A connection to a sqlite data base
visit_ids (list): A list of ids for from each web visit
Returns:
df(pandas DataFrame): A table containing visits that conincide with http responses
get_script_url_from_initiator(initiator)
Remove the scheme and query section of a URL.
get_script_urls_from_call_stack_as_set(call_stack)
Return the urls of the scripts involved in the call stack as a set.
get_set_cookie(header)
A special case of parse headers that returns 'Set-Cookies'
Args:
headers (string): http request headers
Returns:
item(string): name value pairs of Set Cookie field
get_set_of_script_hosts_from_call_stack(call_stack)
Return the urls of the scripts involved in the call stack.
get_set_of_script_ps1s_from_call_stack(script_urls, du)
extract a unique set of urls from a list of urls detected in scripts
Args:
script_urls (list): A list of urls extracted from javascripts
du (list): A domain utilities instance
Returns:
psls(set): a set of tld+1(string)
get_set_of_script_urls_from_call_stack(call_stack)
Return the urls of the scripts involved in the call stack as a
string.
parse_headers(header)
parses http header into kv pairs
Args:
headers (string): http request headers
Returns:
kv(dict): name value pairs of http headers
strip_scheme_www_and_query(url)
Remove the scheme and query section of a URL.
DATA absolute_import = _Feature((2, 5, 0, 'alpha', 1), (3, 0, 0, 'alpha', 0... print_function = _Feature((2, 6, 0, 'alpha', 2), (3, 0, 0, 'alpha', 0)...
FILE /Users/johncook/git/uiowa-irl-utils/irlutils/url/crawl/analysis_utils.py
Help on module chi2_proportions:
NAME chi2_proportions
FUNCTIONS chi2Proportions(count, nobs) A wrapper for the chi2 testing proportions based upon the chi-square test
Args:
count (:obj `list` of :obj`int` or a single `int`): the number of successes in nobs trials. If this is
array_like, then the assumption is that this represents the number of successes
for each independent sample
nobs (:obj `list` of :obj`int` or a single `int`): The number of trials or observations, with the same length as count.
Returns:
chi2 (:obj `float`): The test statistic.
p (:obj `float`): The p-value of the test
dof (int) : Degrees of freedom
expected (:obj `list`): list same shape as observed. The expected frequencies, based on the marginal sums of the table
References:
[1] "scipy.stats.chi2_contingency" https://docs.scipy.org/doc/scipy/reference/generated/scipy.stats.chi2_contingency.html
[2] "statsmodels.stats.proportion.proportions_chisquare" https://www.statsmodels.org/dev/generated/statsmodels.stats.proportion.proportions_chisquare.html
[3] (1, 2) “Contingency table”, https://en.wikipedia.org/wiki/Contingency_table
[4] (1, 2) “Pearson’s chi-squared test”, https://en.wikipedia.org/wiki/Pearson%27s_chi-squared_test
[5] (1, 2) Cressie, N. and Read, T. R. C., “Multinomial Goodness-of-Fit Tests”, J. Royal Stat. Soc. Series B, Vol. 46, No. 3 (1984), pp. 440-464.
Sample use:
input:
[10,10,20] - number of successes in trial
[20,20,20] - number of trials
chi2Proportions([10,10,20], [20,20,20])
output:
(2.7777777777777777,
0.24935220877729619,
2,
array([[ 12., 12., 16.],
[ 18., 18., 24.]]))
FILE /Users/johncook/git/uiowa-irl-utils/irlutils/stats/tests/proportions/chi2_proportions.py
Help on module file_utils:
NAME file_utils
FUNCTIONS chmod(path, mode=777, recursive=False)
chown(path, recursive=False, owner='user', group='user')
compress_path(path)
cp(s, d)
file_ext(path, **kwargs)
file extension finder
kwargs:
path (str): path or file name
Returns:
dotted file extension of a file
Examples:
>>> file_ext('/path/to_file/with_ext/test.py')
.py
gen_find_files(**kwargs)
returns filenames that matches the given pattern under() a given dir
Kwargs:
file_pattern (str): a regex style string .
root (str): top level folder to begin search from.
Yields:
path (generator): matching path str
Examples:
gen_find_files(file_pattern="*.sql", root="/mnt/data/).
>>> gen_find_files(file_pattern="*.sql", root="/mnt/data/).__next__()
/mnt/data/first_folder/last_folder/file.sqlite
Reference:
[1] http://www.dabeaz.com/generators/
json_flatten(y)
flattens nested structures within a json file
Kwargs:
data (dict): data from nested dictionary
kv (dict): dictionary containing key,value pairs.
returns:
kv (dict): a dictionary object containing flattened structures
Examples:
data = {'k1':{'kv1':['v1', 'v2'], 'kv2': 'v3'}}
>>> json_flatten(data)
{'k1_kv1_0': 'v1', 'k1_kv1_1': 'v2', 'k1_kv2': 'v3'}
mkdir(d, mode=511, exist_ok=True)
mv(s, d)
rm(d)
rmsubtree(**kwargs)
Clears all subfolders and files in location
kwargs:
location (str): target directory to remove
Examples:
>>> rmsubtree(location="/path/to/target_dir").
tar_packer(tar_dir, **kwargs)
tars up directory
Kwargs:
dir (str): top level dir
compression (bool): compression type. gz, xz supported now
versbose (bool): True enables verbose
returns:
tar_path (generator): path to tar file
Examples:
tar_packer(dir="/path/to/top_level_dir", [compression=gz|xz]
>>>
/tmp/FZ4245_Zb/top_level_dir.tar
tar_unpacker(tar_path, **kwargs)
unpacks tar to a tmp directory.
Kwargs:
tar_path (str): tar file path
versbose (bool): True enables verbose
returns:
tmp_path (generator): extracted contents path
Examples:
tar_unpacker(tar_path="/mnt/data/tarfile.tar.gz").
>>> tar_unpacker(tar_path="/mnt/data/tarfile.tar.gz").
/tmp/FZ4245_Zb/
touch(d)
DATA DBG = <lcdk.lcdk.lcdk object>
AUTHOR johncook
FILE /Users/johncook/git/uiowa-irl-utils/irlutils/file/file_utils.py
Help on module database_utils:
NAME database_utils
FUNCTIONS
build_index(cursor, column, tables)
Build an index on column for each table in tables
drop_tables(sqlite_con, tables=[])
fetchiter(cursor, arraysize=10000)
Generator for cursor results
get_channel_content(visit_id, channel_id, sqlite_cur, ldb_con, beautify=True)
Return javascript content for given channel_id.
Parameters
----------
visit_id : int
`visit_id` of the page visit where this URL was loaded
channel_id : string
`channel_id` to search content hash for
sqlite_cur : sqlite3.Cursor
cursor for crawl database
ldb_con : plyvel.DB
leveldb database storing javascript content
beautify : boolean
Control weather or not to beautify output
get_channel_content_with_hash(visit_id, channel_id, sqlite_cur, ldb_con, beautify=True)
Return javascript content for given channel_id.
Parameters
----------
visit_id : int
`visit_id` of the page visit where this URL was loaded
channel_id : string
`channel_id` to search content hash for
sqlite_cur : sqlite3.Cursor
cursor for crawl database
ldb_con : plyvel.DB
leveldb database storing javascript content
beautify : boolean
Control weather or not to beautify output
get_content(db, content_hash, compression='snappy', beautify=True)
Returns decompressed content from javascript leveldb database
get_ldb_content(ldb_addr, content_hash)
get_leveldb(db_path, compression='snappy')
Returns an open handle for a leveldb database
with proper configuration settings.
get_url_content(url, sqlite_cur, ldb_con, beautify=True, visit_id=None)
Return javascript content for given url.
Parameters
----------
url : string
url to search content hash for
sqlite_cur : sqlite3.Cursor
cursor for crawl database
ldb_con : plyvel.DB
leveldb database storing javascript content
beautify : boolean
Control weather or not to beautify output
visit_id : int
(optional) `visit_id` of the page visit where this URL was loaded
get_url_content_with_hash(url, sqlite_cur, ldb_con, beautify=True, visit_id=None)
Return javascript content for given url.
Parameters
----------
url : string
url to search content hash for
sqlite_cur : sqlite3.Cursor
cursor for crawl database
ldb_con : plyvel.DB
leveldb database storing javascript content
beautify : boolean
Control weather or not to beautify output
visit_id : int
(optional) `visit_id` of the page visit where this URL was loaded
list_placeholder(length, is_pg=False)
Returns a (?,?,?,?...) string of the desired length
optimize_db(cursor)
Set options to make sqlite more efficient on a high memory machine
FILE /Users/johncook/git/uiowa-irl-utils/irlutils/url/crawl/database_utils.py
problem in irlutils/url/crawl/domain_utils.py - ModuleNotFoundError: No module named 'publicsuffix2' problem in irlutils/url/crawl/blocklist_utils.py - ModuleNotFoundError: No module named 'publicsuffix2' Help on module analysis_utils:
NAME analysis_utils
FUNCTIONS add_col_bare_script_url(js_df) Add a col for script URL without scheme, www and query.
add_col_set_of_script_ps1s_from_call_stack(js_df)
map psls to call stack in scripts
Args:
js_df (pandas dataFrame): javascript table
add_col_set_of_script_urls_from_call_stack(js_df)
add_col_unix_timestamp(df)
datetime_from_iso(iso_date)
Convert from ISO.
get_cookie(headers)
A special case of parse headers that extracts only the cookie.
Args:
headers (list): http request headers
Returns:
item(string): name value pairs of a cookie
get_func_and_script_url_from_initiator(initiator)
Remove line number and column number from the initiator.
get_host_from_url(url)
get_initiator_from_call_stack(call_stack)
Return the bottom element of the call stack.
get_initiator_from_req_call_stack(req_call_stack)
Return the bottom element of a request call stack.
Request call stacks have an extra field (async_cause) at the end.
get_requests_from_visits(con, visit_ids)
Extact http requests matching visit_ids
Args:
con (sqlite3.connection): A connection to a sqlite data base
visit_ids (list): A list of ids for from each web visit
Returns:
df(pandas DataFrame): A table containing visits that conincide with http requests
get_responses_from_visits(con, visit_ids)
Extact http requests matching visit_ids
Args:
con (sqlite3.connection): A connection to a sqlite data base
visit_ids (list): A list of ids for from each web visit
Returns:
df(pandas DataFrame): A table containing visits that conincide with http responses
get_script_url_from_initiator(initiator)
Remove the scheme and query section of a URL.
get_script_urls_from_call_stack_as_set(call_stack)
Return the urls of the scripts involved in the call stack as a set.
get_set_cookie(header)
A special case of parse headers that returns 'Set-Cookies'
Args:
headers (string): http request headers
Returns:
item(string): name value pairs of Set Cookie field
get_set_of_script_hosts_from_call_stack(call_stack)
Return the urls of the scripts involved in the call stack.
get_set_of_script_ps1s_from_call_stack(script_urls, du)
extract a unique set of urls from a list of urls detected in scripts
Args:
script_urls (list): A list of urls extracted from javascripts
du (list): A domain utilities instance
Returns:
psls(set): a set of tld+1(string)
get_set_of_script_urls_from_call_stack(call_stack)
Return the urls of the scripts involved in the call stack as a
string.
parse_headers(header)
parses http header into kv pairs
Args:
headers (string): http request headers
Returns:
kv(dict): name value pairs of http headers
strip_scheme_www_and_query(url)
Remove the scheme and query section of a URL.
DATA absolute_import = _Feature((2, 5, 0, 'alpha', 1), (3, 0, 0, 'alpha', 0... print_function = _Feature((2, 6, 0, 'alpha', 2), (3, 0, 0, 'alpha', 0)...
FILE /Users/johncook/git/uiowa-irl-utils/irlutils/url/crawl/analysis_utils.py
Help on module chi2_proportions:
NAME chi2_proportions
FUNCTIONS chi2Proportions(count, nobs) A wrapper for the chi2 testing proportions based upon the chi-square test
Args:
count (:obj `list` of :obj`int` or a single `int`): the number of successes in nobs trials. If this is
array_like, then the assumption is that this represents the number of successes
for each independent sample
nobs (:obj `list` of :obj`int` or a single `int`): The number of trials or observations, with the same length as count.
Returns:
chi2 (:obj `float`): The test statistic.
p (:obj `float`): The p-value of the test
dof (int) : Degrees of freedom
expected (:obj `list`): list same shape as observed. The expected frequencies, based on the marginal sums of the table
References:
[1] "scipy.stats.chi2_contingency" https://docs.scipy.org/doc/scipy/reference/generated/scipy.stats.chi2_contingency.html
[2] "statsmodels.stats.proportion.proportions_chisquare" https://www.statsmodels.org/dev/generated/statsmodels.stats.proportion.proportions_chisquare.html
[3] (1, 2) “Contingency table”, https://en.wikipedia.org/wiki/Contingency_table
[4] (1, 2) “Pearson’s chi-squared test”, https://en.wikipedia.org/wiki/Pearson%27s_chi-squared_test
[5] (1, 2) Cressie, N. and Read, T. R. C., “Multinomial Goodness-of-Fit Tests”, J. Royal Stat. Soc. Series B, Vol. 46, No. 3 (1984), pp. 440-464.
Sample use:
input:
[10,10,20] - number of successes in trial
[20,20,20] - number of trials
chi2Proportions([10,10,20], [20,20,20])
output:
(2.7777777777777777,
0.24935220877729619,
2,
array([[ 12., 12., 16.],
[ 18., 18., 24.]]))
FILE /Users/johncook/git/uiowa-irl-utils/irlutils/stats/tests/proportions/chi2_proportions.py
Help on module file_utils:
NAME file_utils
FUNCTIONS chmod(path, mode=777, recursive=False)
chown(path, recursive=False, owner='user', group='user')
compress_path(path)
cp(s, d)
file_ext(path, **kwargs)
file extension finder
kwargs:
path (str): path or file name
Returns:
dotted file extension of a file
Examples:
>>> file_ext('/path/to_file/with_ext/test.py')
.py
gen_find_files(**kwargs)
returns filenames that matches the given pattern under() a given dir
Kwargs:
file_pattern (str): a regex style string .
root (str): top level folder to begin search from.
Yields:
path (generator): matching path str
Examples:
gen_find_files(file_pattern="*.sql", root="/mnt/data/).
>>> gen_find_files(file_pattern="*.sql", root="/mnt/data/).__next__()
/mnt/data/first_folder/last_folder/file.sqlite
Reference:
[1] http://www.dabeaz.com/generators/
json_flatten(y)
flattens nested structures within a json file
Kwargs:
data (dict): data from nested dictionary
kv (dict): dictionary containing key,value pairs.
returns:
kv (dict): a dictionary object containing flattened structures
Examples:
data = {'k1':{'kv1':['v1', 'v2'], 'kv2': 'v3'}}
>>> json_flatten(data)
{'k1_kv1_0': 'v1', 'k1_kv1_1': 'v2', 'k1_kv2': 'v3'}
mkdir(d, mode=511, exist_ok=True)
mv(s, d)
rm(d)
rmsubtree(**kwargs)
Clears all subfolders and files in location
kwargs:
location (str): target directory to remove
Examples:
>>> rmsubtree(location="/path/to/target_dir").
tar_packer(tar_dir, **kwargs)
tars up directory
Kwargs:
dir (str): top level dir
compression (bool): compression type. gz, xz supported now
versbose (bool): True enables verbose
returns:
tar_path (generator): path to tar file
Examples:
tar_packer(dir="/path/to/top_level_dir", [compression=gz|xz]
>>>
/tmp/FZ4245_Zb/top_level_dir.tar
tar_unpacker(tar_path, **kwargs)
unpacks tar to a tmp directory.
Kwargs:
tar_path (str): tar file path
versbose (bool): True enables verbose
returns:
tmp_path (generator): extracted contents path
Examples:
tar_unpacker(tar_path="/mnt/data/tarfile.tar.gz").
>>> tar_unpacker(tar_path="/mnt/data/tarfile.tar.gz").
/tmp/FZ4245_Zb/
touch(d)
DATA DBG = <lcdk.lcdk.lcdk object>
AUTHOR johncook
FILE /Users/johncook/git/uiowa-irl-utils/irlutils/file/file_utils.py
Help on module database_utils:
NAME database_utils
FUNCTIONS
build_index(cursor, column, tables)
Build an index on column for each table in tables
drop_tables(sqlite_con, tables=[])
fetchiter(cursor, arraysize=10000)
Generator for cursor results
get_channel_content(visit_id, channel_id, sqlite_cur, ldb_con, beautify=True)
Return javascript content for given channel_id.
Parameters
----------
visit_id : int
`visit_id` of the page visit where this URL was loaded
channel_id : string
`channel_id` to search content hash for
sqlite_cur : sqlite3.Cursor
cursor for crawl database
ldb_con : plyvel.DB
leveldb database storing javascript content
beautify : boolean
Control weather or not to beautify output
get_channel_content_with_hash(visit_id, channel_id, sqlite_cur, ldb_con, beautify=True)
Return javascript content for given channel_id.
Parameters
----------
visit_id : int
`visit_id` of the page visit where this URL was loaded
channel_id : string
`channel_id` to search content hash for
sqlite_cur : sqlite3.Cursor
cursor for crawl database
ldb_con : plyvel.DB
leveldb database storing javascript content
beautify : boolean
Control weather or not to beautify output
get_content(db, content_hash, compression='snappy', beautify=True)
Returns decompressed content from javascript leveldb database
get_ldb_content(ldb_addr, content_hash)
get_leveldb(db_path, compression='snappy')
Returns an open handle for a leveldb database
with proper configuration settings.
get_url_content(url, sqlite_cur, ldb_con, beautify=True, visit_id=None)
Return javascript content for given url.
Parameters
----------
url : string
url to search content hash for
sqlite_cur : sqlite3.Cursor
cursor for crawl database
ldb_con : plyvel.DB
leveldb database storing javascript content
beautify : boolean
Control weather or not to beautify output
visit_id : int
(optional) `visit_id` of the page visit where this URL was loaded
get_url_content_with_hash(url, sqlite_cur, ldb_con, beautify=True, visit_id=None)
Return javascript content for given url.
Parameters
----------
url : string
url to search content hash for
sqlite_cur : sqlite3.Cursor
cursor for crawl database
ldb_con : plyvel.DB
leveldb database storing javascript content
beautify : boolean
Control weather or not to beautify output
visit_id : int
(optional) `visit_id` of the page visit where this URL was loaded
list_placeholder(length, is_pg=False)
Returns a (?,?,?,?...) string of the desired length
optimize_db(cursor)
Set options to make sqlite more efficient on a high memory machine
FILE /Users/johncook/git/uiowa-irl-utils/irlutils/url/crawl/database_utils.py
problem in irlutils/url/crawl/domain_utils.py - ModuleNotFoundError: No module named 'publicsuffix2' problem in irlutils/url/crawl/blocklist_utils.py - ModuleNotFoundError: No module named 'publicsuffix2' Help on module analysis_utils:
NAME analysis_utils
FUNCTIONS add_col_bare_script_url(js_df) Add a col for script URL without scheme, www and query.
add_col_set_of_script_ps1s_from_call_stack(js_df)
map psls to call stack in scripts
Args:
js_df (pandas dataFrame): javascript table
add_col_set_of_script_urls_from_call_stack(js_df)
add_col_unix_timestamp(df)
datetime_from_iso(iso_date)
Convert from ISO.
get_cookie(headers)
A special case of parse headers that extracts only the cookie.
Args:
headers (list): http request headers
Returns:
item(string): name value pairs of a cookie
get_func_and_script_url_from_initiator(initiator)
Remove line number and column number from the initiator.
get_host_from_url(url)
get_initiator_from_call_stack(call_stack)
Return the bottom element of the call stack.
get_initiator_from_req_call_stack(req_call_stack)
Return the bottom element of a request call stack.
Request call stacks have an extra field (async_cause) at the end.
get_requests_from_visits(con, visit_ids)
Extact http requests matching visit_ids
Args:
con (sqlite3.connection): A connection to a sqlite data base
visit_ids (list): A list of ids for from each web visit
Returns:
df(pandas DataFrame): A table containing visits that conincide with http requests
get_responses_from_visits(con, visit_ids)
Extact http requests matching visit_ids
Args:
con (sqlite3.connection): A connection to a sqlite data base
visit_ids (list): A list of ids for from each web visit
Returns:
df(pandas DataFrame): A table containing visits that conincide with http responses
get_script_url_from_initiator(initiator)
Remove the scheme and query section of a URL.
get_script_urls_from_call_stack_as_set(call_stack)
Return the urls of the scripts involved in the call stack as a set.
get_set_cookie(header)
A special case of parse headers that returns 'Set-Cookies'
Args:
headers (string): http request headers
Returns:
item(string): name value pairs of Set Cookie field
get_set_of_script_hosts_from_call_stack(call_stack)
Return the urls of the scripts involved in the call stack.
get_set_of_script_ps1s_from_call_stack(script_urls, du)
extract a unique set of urls from a list of urls detected in scripts
Args:
script_urls (list): A list of urls extracted from javascripts
du (list): A domain utilities instance
Returns:
psls(set): a set of tld+1(string)
get_set_of_script_urls_from_call_stack(call_stack)
Return the urls of the scripts involved in the call stack as a
string.
parse_headers(header)
parses http header into kv pairs
Args:
headers (string): http request headers
Returns:
kv(dict): name value pairs of http headers
strip_scheme_www_and_query(url)
Remove the scheme and query section of a URL.
DATA absolute_import = _Feature((2, 5, 0, 'alpha', 1), (3, 0, 0, 'alpha', 0... print_function = _Feature((2, 6, 0, 'alpha', 2), (3, 0, 0, 'alpha', 0)...
FILE /Users/johncook/git/uiowa-irl-utils/irlutils/url/crawl/analysis_utils.py
Help on module chi2_proportions:
NAME chi2_proportions
FUNCTIONS chi2Proportions(count, nobs) A wrapper for the chi2 testing proportions based upon the chi-square test
Args:
count (:obj `list` of :obj`int` or a single `int`): the number of successes in nobs trials. If this is
array_like, then the assumption is that this represents the number of successes
for each independent sample
nobs (:obj `list` of :obj`int` or a single `int`): The number of trials or observations, with the same length as count.
Returns:
chi2 (:obj `float`): The test statistic.
p (:obj `float`): The p-value of the test
dof (int) : Degrees of freedom
expected (:obj `list`): list same shape as observed. The expected frequencies, based on the marginal sums of the table
References:
[1] "scipy.stats.chi2_contingency" https://docs.scipy.org/doc/scipy/reference/generated/scipy.stats.chi2_contingency.html
[2] "statsmodels.stats.proportion.proportions_chisquare" https://www.statsmodels.org/dev/generated/statsmodels.stats.proportion.proportions_chisquare.html
[3] (1, 2) “Contingency table”, https://en.wikipedia.org/wiki/Contingency_table
[4] (1, 2) “Pearson’s chi-squared test”, https://en.wikipedia.org/wiki/Pearson%27s_chi-squared_test
[5] (1, 2) Cressie, N. and Read, T. R. C., “Multinomial Goodness-of-Fit Tests”, J. Royal Stat. Soc. Series B, Vol. 46, No. 3 (1984), pp. 440-464.
Sample use:
input:
[10,10,20] - number of successes in trial
[20,20,20] - number of trials
chi2Proportions([10,10,20], [20,20,20])
output:
(2.7777777777777777,
0.24935220877729619,
2,
array([[ 12., 12., 16.],
[ 18., 18., 24.]]))
FILE /Users/johncook/git/uiowa-irl-utils/irlutils/stats/tests/proportions/chi2_proportions.py
Help on module file_utils:
NAME file_utils
FUNCTIONS chmod(path, mode=777, recursive=False)
chown(path, recursive=False, owner='user', group='user')
compress_path(path)
cp(s, d)
file_ext(path, **kwargs)
file extension finder
kwargs:
path (str): path or file name
Returns:
dotted file extension of a file
Examples:
>>> file_ext('/path/to_file/with_ext/test.py')
.py
gen_find_files(**kwargs)
returns filenames that matches the given pattern under() a given dir
Kwargs:
file_pattern (str): a regex style string .
root (str): top level folder to begin search from.
Yields:
path (generator): matching path str
Examples:
gen_find_files(file_pattern="*.sql", root="/mnt/data/).
>>> gen_find_files(file_pattern="*.sql", root="/mnt/data/).__next__()
/mnt/data/first_folder/last_folder/file.sqlite
Reference:
[1] http://www.dabeaz.com/generators/
json_flatten(y)
flattens nested structures within a json file
Kwargs:
data (dict): data from nested dictionary
kv (dict): dictionary containing key,value pairs.
returns:
kv (dict): a dictionary object containing flattened structures
Examples:
data = {'k1':{'kv1':['v1', 'v2'], 'kv2': 'v3'}}
>>> json_flatten(data)
{'k1_kv1_0': 'v1', 'k1_kv1_1': 'v2', 'k1_kv2': 'v3'}
mkdir(d, mode=511, exist_ok=True)
mv(s, d)
rm(d)
rmsubtree(**kwargs)
Clears all subfolders and files in location
kwargs:
location (str): target directory to remove
Examples:
>>> rmsubtree(location="/path/to/target_dir").
tar_packer(tar_dir, **kwargs)
tars up directory
Kwargs:
dir (str): top level dir
compression (bool): compression type. gz, xz supported now
versbose (bool): True enables verbose
returns:
tar_path (generator): path to tar file
Examples:
tar_packer(dir="/path/to/top_level_dir", [compression=gz|xz]
>>>
/tmp/FZ4245_Zb/top_level_dir.tar
tar_unpacker(tar_path, **kwargs)
unpacks tar to a tmp directory.
Kwargs:
tar_path (str): tar file path
versbose (bool): True enables verbose
returns:
tmp_path (generator): extracted contents path
Examples:
tar_unpacker(tar_path="/mnt/data/tarfile.tar.gz").
>>> tar_unpacker(tar_path="/mnt/data/tarfile.tar.gz").
/tmp/FZ4245_Zb/
touch(d)
AUTHOR johncook
FILE /Users/johncook/git/uiowa-irl-utils/irlutils/file/file_utils.py
Help on module database_utils:
NAME database_utils
FUNCTIONS
build_index(cursor, column, tables)
Build an index on column for each table in tables
drop_tables(sqlite_con, tables=[])
fetchiter(cursor, arraysize=10000)
Generator for cursor results
get_channel_content(visit_id, channel_id, sqlite_cur, ldb_con, beautify=True)
Return javascript content for given channel_id.
Parameters
----------
visit_id : int
`visit_id` of the page visit where this URL was loaded
channel_id : string
`channel_id` to search content hash for
sqlite_cur : sqlite3.Cursor
cursor for crawl database
ldb_con : plyvel.DB
leveldb database storing javascript content
beautify : boolean
Control weather or not to beautify output
get_channel_content_with_hash(visit_id, channel_id, sqlite_cur, ldb_con, beautify=True)
Return javascript content for given channel_id.
Parameters
----------
visit_id : int
`visit_id` of the page visit where this URL was loaded
channel_id : string
`channel_id` to search content hash for
sqlite_cur : sqlite3.Cursor
cursor for crawl database
ldb_con : plyvel.DB
leveldb database storing javascript content
beautify : boolean
Control weather or not to beautify output
get_content(db, content_hash, compression='snappy', beautify=True)
Returns decompressed content from javascript leveldb database
get_ldb_content(ldb_addr, content_hash)
get_leveldb(db_path, compression='snappy')
Returns an open handle for a leveldb database
with proper configuration settings.
get_url_content(url, sqlite_cur, ldb_con, beautify=True, visit_id=None)
Return javascript content for given url.
Parameters
----------
url : string
url to search content hash for
sqlite_cur : sqlite3.Cursor
cursor for crawl database
ldb_con : plyvel.DB
leveldb database storing javascript content
beautify : boolean
Control weather or not to beautify output
visit_id : int
(optional) `visit_id` of the page visit where this URL was loaded
get_url_content_with_hash(url, sqlite_cur, ldb_con, beautify=True, visit_id=None)
Return javascript content for given url.
Parameters
----------
url : string
url to search content hash for
sqlite_cur : sqlite3.Cursor
cursor for crawl database
ldb_con : plyvel.DB
leveldb database storing javascript content
beautify : boolean
Control weather or not to beautify output
visit_id : int
(optional) `visit_id` of the page visit where this URL was loaded
list_placeholder(length, is_pg=False)
Returns a (?,?,?,?...) string of the desired length
optimize_db(cursor)
Set options to make sqlite more efficient on a high memory machine
FILE /Users/johncook/git/uiowa-irl-utils/irlutils/url/crawl/database_utils.py
problem in irlutils/url/crawl/domain_utils.py - ModuleNotFoundError: No module named 'publicsuffix2' problem in irlutils/url/crawl/blocklist_utils.py - ModuleNotFoundError: No module named 'publicsuffix2' Help on module analysis_utils:
NAME analysis_utils
FUNCTIONS add_col_bare_script_url(js_df) Add a col for script URL without scheme, www and query.
add_col_set_of_script_ps1s_from_call_stack(js_df)
map psls to call stack in scripts
Args:
js_df (pandas dataFrame): javascript table
add_col_set_of_script_urls_from_call_stack(js_df)
add_col_unix_timestamp(df)
datetime_from_iso(iso_date)
Convert from ISO.
get_cookie(headers)
A special case of parse headers that extracts only the cookie.
Args:
headers (list): http request headers
Returns:
item(string): name value pairs of a cookie
get_func_and_script_url_from_initiator(initiator)
Remove line number and column number from the initiator.
get_host_from_url(url)
get_initiator_from_call_stack(call_stack)
Return the bottom element of the call stack.
get_initiator_from_req_call_stack(req_call_stack)
Return the bottom element of a request call stack.
Request call stacks have an extra field (async_cause) at the end.
get_requests_from_visits(con, visit_ids)
Extact http requests matching visit_ids
Args:
con (sqlite3.connection): A connection to a sqlite data base
visit_ids (list): A list of ids for from each web visit
Returns:
df(pandas DataFrame): A table containing visits that conincide with http requests
get_responses_from_visits(con, visit_ids)
Extact http requests matching visit_ids
Args:
con (sqlite3.connection): A connection to a sqlite data base
visit_ids (list): A list of ids for from each web visit
Returns:
df(pandas DataFrame): A table containing visits that conincide with http responses
get_script_url_from_initiator(initiator)
Remove the scheme and query section of a URL.
get_script_urls_from_call_stack_as_set(call_stack)
Return the urls of the scripts involved in the call stack as a set.
get_set_cookie(header)
A special case of parse headers that returns 'Set-Cookies'
Args:
headers (string): http request headers
Returns:
item(string): name value pairs of Set Cookie field
get_set_of_script_hosts_from_call_stack(call_stack)
Return the urls of the scripts involved in the call stack.
get_set_of_script_ps1s_from_call_stack(script_urls, du)
extract a unique set of urls from a list of urls detected in scripts
Args:
script_urls (list): A list of urls extracted from javascripts
du (list): A domain utilities instance
Returns:
psls(set): a set of tld+1(string)
get_set_of_script_urls_from_call_stack(call_stack)
Return the urls of the scripts involved in the call stack as a
string.
parse_headers(header)
parses http header into kv pairs
Args:
headers (string): http request headers
Returns:
kv(dict): name value pairs of http headers
strip_scheme_www_and_query(url)
Remove the scheme and query section of a URL.
DATA absolute_import = _Feature((2, 5, 0, 'alpha', 1), (3, 0, 0, 'alpha', 0... print_function = _Feature((2, 6, 0, 'alpha', 2), (3, 0, 0, 'alpha', 0)...
FILE /Users/johncook/git/uiowa-irl-utils/irlutils/url/crawl/analysis_utils.py
Help on module chi2_proportions:
NAME chi2_proportions
FUNCTIONS chi2Proportions(count, nobs) A wrapper for the chi2 testing proportions based upon the chi-square test
Args:
count (:obj `list` of :obj`int` or a single `int`): the number of successes in nobs trials. If this is
array_like, then the assumption is that this represents the number of successes
for each independent sample
nobs (:obj `list` of :obj`int` or a single `int`): The number of trials or observations, with the same length as count.
Returns:
chi2 (:obj `float`): The test statistic.
p (:obj `float`): The p-value of the test
dof (int) : Degrees of freedom
expected (:obj `list`): list same shape as observed. The expected frequencies, based on the marginal sums of the table
References:
[1] "scipy.stats.chi2_contingency" https://docs.scipy.org/doc/scipy/reference/generated/scipy.stats.chi2_contingency.html
[2] "statsmodels.stats.proportion.proportions_chisquare" https://www.statsmodels.org/dev/generated/statsmodels.stats.proportion.proportions_chisquare.html
[3] (1, 2) “Contingency table”, https://en.wikipedia.org/wiki/Contingency_table
[4] (1, 2) “Pearson’s chi-squared test”, https://en.wikipedia.org/wiki/Pearson%27s_chi-squared_test
[5] (1, 2) Cressie, N. and Read, T. R. C., “Multinomial Goodness-of-Fit Tests”, J. Royal Stat. Soc. Series B, Vol. 46, No. 3 (1984), pp. 440-464.
Sample use:
input:
[10,10,20] - number of successes in trial
[20,20,20] - number of trials
chi2Proportions([10,10,20], [20,20,20])
output:
(2.7777777777777777,
0.24935220877729619,
2,
array([[ 12., 12., 16.],
[ 18., 18., 24.]]))
FILE /Users/johncook/git/uiowa-irl-utils/irlutils/stats/tests/proportions/chi2_proportions.py
Help on module chi2_proportions:
NAME chi2_proportions
FUNCTIONS chi2Proportions(count, nobs) A wrapper for the chi2 testing proportions based upon the chi-square test
Args:
count (:obj `list` of :obj`int` or a single `int`): the number of successes in nobs trials. If this is
array_like, then the assumption is that this represents the number of successes
for each independent sample
nobs (:obj `list` of :obj`int` or a single `int`): The number of trials or observations, with the same length as count.
Returns:
chi2 (:obj `float`): The test statistic.
p (:obj `float`): The p-value of the test
dof (int) : Degrees of freedom
expected (:obj `list`): list same shape as observed. The expected frequencies, based on the marginal sums of the table
References:
[1] "scipy.stats.chi2_contingency" https://docs.scipy.org/doc/scipy/reference/generated/scipy.stats.chi2_contingency.html
[2] "statsmodels.stats.proportion.proportions_chisquare" https://www.statsmodels.org/dev/generated/statsmodels.stats.proportion.proportions_chisquare.html
[3] (1, 2) “Contingency table”, https://en.wikipedia.org/wiki/Contingency_table
[4] (1, 2) “Pearson’s chi-squared test”, https://en.wikipedia.org/wiki/Pearson%27s_chi-squared_test
[5] (1, 2) Cressie, N. and Read, T. R. C., “Multinomial Goodness-of-Fit Tests”, J. Royal Stat. Soc. Series B, Vol. 46, No. 3 (1984), pp. 440-464.
Sample use:
input:
[10,10,20] - number of successes in trial
[20,20,20] - number of trials
chi2Proportions([10,10,20], [20,20,20])
output:
(2.7777777777777777,
0.24935220877729619,
2,
array([[ 12., 12., 16.],
[ 18., 18., 24.]]))
FILE /home/john/git/uiowa-irl/uiowa-irl-utils/irlutils/irlutils/stats/tests/proportions/chi2_proportions.py
Help on module file_utils:
NAME file_utils
FUNCTIONS chmod(path, mode=777, recursive=False)
chown(path, recursive=False, owner='user', group='user')
compress_path(path)
cp(s, d)
file_ext(path, **kwargs)
file extension finder
kwargs:
path (str): path or file name
Returns:
dotted file extension of a file
Examples:
>>> file_ext('/path/to_file/with_ext/test.py')
.py
gen_find_files(**kwargs)
returns filenames that matches the given pattern under() a given dir
Kwargs:
file_pattern (str): a regex style string .
root (str): top level folder to begin search from.
Yields:
path (generator): matching path str
Examples:
gen_find_files(file_pattern="*.sql", root="/mnt/data/).
>>> gen_find_files(file_pattern="*.sql", root="/mnt/data/).__next__()
/mnt/data/first_folder/last_folder/file.sqlite
Reference:
[1] http://www.dabeaz.com/generators/
json_flatten(y)
flattens nested structures within a json file
Kwargs:
data (dict): data from nested dictionary
kv (dict): dictionary containing key,value pairs.
returns:
kv (dict): a dictionary object containing flattened structures
Examples:
data = {'k1':{'kv1':['v1', 'v2'], 'kv2': 'v3'}}
>>> json_flatten(data)
{'k1_kv1_0': 'v1', 'k1_kv1_1': 'v2', 'k1_kv2': 'v3'}
mkdir(d, mode=511, exist_ok=True)
mv(s, d)
rm(d)
rmsubtree(**kwargs)
Clears all subfolders and files in location
kwargs:
location (str): target directory to remove
Examples:
>>> rmsubtree(location="/path/to/target_dir").
tar_packer(tar_dir, **kwargs)
tars up directory
Kwargs:
dir (str): top level dir
compression (bool): compression type. gz, xz supported now
versbose (bool): True enables verbose
returns:
tar_path (generator): path to tar file
Examples:
tar_packer(dir="/path/to/top_level_dir", [compression=gz|xz]
>>>
/tmp/FZ4245_Zb/top_level_dir.tar
tar_unpacker(tar_path, **kwargs)
unpacks tar to a tmp directory.
Kwargs:
tar_path (str): tar file path
versbose (bool): True enables verbose
returns:
tmp_path (generator): extracted contents path
Examples:
tar_unpacker(tar_path="/mnt/data/tarfile.tar.gz").
>>> tar_unpacker(tar_path="/mnt/data/tarfile.tar.gz").
/tmp/FZ4245_Zb/
touch(d)
AUTHOR johncook
FILE /home/john/git/uiowa-irl/uiowa-irl-utils/irlutils/irlutils/file/file_utils.py
Help on module analysis_utils:
NAME analysis_utils
FUNCTIONS add_col_bare_script_url(js_df) Add a col for script URL without scheme, www and query.
add_col_set_of_script_ps1s_from_call_stack(js_df)
map psls to call stack in scripts
Args:
js_df (pandas dataFrame): javascript table
add_col_set_of_script_urls_from_call_stack(js_df)
add_col_unix_timestamp(df)
datetime_from_iso(iso_date)
Convert from ISO.
get_cookie(headers)
A special case of parse headers that extracts only the cookie.
Args:
headers (list): http request headers
Returns:
item(string): name value pairs of a cookie
get_func_and_script_url_from_initiator(initiator)
Remove line number and column number from the initiator.
get_host_from_url(url)
get_initiator_from_call_stack(call_stack)
Return the bottom element of the call stack.
get_initiator_from_req_call_stack(req_call_stack)
Return the bottom element of a request call stack.
Request call stacks have an extra field (async_cause) at the end.
get_requests_from_visits(con, visit_ids)
Extact http requests matching visit_ids
Args:
con (sqlite3.connection): A connection to a sqlite data base
visit_ids (list): A list of ids for from each web visit
Returns:
df(pandas DataFrame): A table containing visits that conincide with http requests
get_responses_from_visits(con, visit_ids)
Extact http requests matching visit_ids
Args:
con (sqlite3.connection): A connection to a sqlite data base
visit_ids (list): A list of ids for from each web visit
Returns:
df(pandas DataFrame): A table containing visits that conincide with http responses
get_script_url_from_initiator(initiator)
Remove the scheme and query section of a URL.
get_script_urls_from_call_stack_as_set(call_stack)
Return the urls of the scripts involved in the call stack as a set.
get_set_cookie(header)
A special case of parse headers that returns 'Set-Cookies'
Args:
headers (string): http request headers
Returns:
item(string): name value pairs of Set Cookie field
get_set_of_script_hosts_from_call_stack(call_stack)
Return the urls of the scripts involved in the call stack.
get_set_of_script_ps1s_from_call_stack(script_urls, du)
extract a unique set of urls from a list of urls detected in scripts
Args:
script_urls (list): A list of urls extracted from javascripts
du (list): A domain utilities instance
Returns:
psls(set): a set of tld+1(string)
get_set_of_script_urls_from_call_stack(call_stack)
Return the urls of the scripts involved in the call stack as a
string.
parse_headers(header)
parses http header into kv pairs
Args:
headers (string): http request headers
Returns:
kv(dict): name value pairs of http headers
strip_scheme_www_and_query(url)
Remove the scheme and query section of a URL.
DATA absolute_import = _Feature((2, 5, 0, 'alpha', 1), (3, 0, 0, 'alpha', 0... print_function = _Feature((2, 6, 0, 'alpha', 2), (3, 0, 0, 'alpha', 0)...
FILE /home/john/git/uiowa-irl/uiowa-irl-utils/irlutils/irlutils/url/crawl/analysis_utils.py
Help on module database_utils:
NAME database_utils
FUNCTIONS
build_index(cursor, column, tables)
Build an index on column for each table in tables
drop_tables(sqlite_con, tables=[])
fetchiter(cursor, arraysize=10000)
Generator for cursor results
get_channel_content(visit_id, channel_id, sqlite_cur, ldb_con, beautify=True)
Return javascript content for given channel_id.
Parameters
----------
visit_id : int
`visit_id` of the page visit where this URL was loaded
channel_id : string
`channel_id` to search content hash for
sqlite_cur : sqlite3.Cursor
cursor for crawl database
ldb_con : plyvel.DB
leveldb database storing javascript content
beautify : boolean
Control weather or not to beautify output
get_channel_content_with_hash(visit_id, channel_id, sqlite_cur, ldb_con, beautify=True)
Return javascript content for given channel_id.
Parameters
----------
visit_id : int
`visit_id` of the page visit where this URL was loaded
channel_id : string
`channel_id` to search content hash for
sqlite_cur : sqlite3.Cursor
cursor for crawl database
ldb_con : plyvel.DB
leveldb database storing javascript content
beautify : boolean
Control weather or not to beautify output
get_content(db, content_hash, compression='snappy', beautify=True)
Returns decompressed content from javascript leveldb database
get_ldb_content(ldb_addr, content_hash)
get_leveldb(db_path, compression='snappy')
Returns an open handle for a leveldb database
with proper configuration settings.
get_url_content(url, sqlite_cur, ldb_con, beautify=True, visit_id=None)
Return javascript content for given url.
Parameters
----------
url : string
url to search content hash for
sqlite_cur : sqlite3.Cursor
cursor for crawl database
ldb_con : plyvel.DB
leveldb database storing javascript content
beautify : boolean
Control weather or not to beautify output
visit_id : int
(optional) `visit_id` of the page visit where this URL was loaded
get_url_content_with_hash(url, sqlite_cur, ldb_con, beautify=True, visit_id=None)
Return javascript content for given url.
Parameters
----------
url : string
url to search content hash for
sqlite_cur : sqlite3.Cursor
cursor for crawl database
ldb_con : plyvel.DB
leveldb database storing javascript content
beautify : boolean
Control weather or not to beautify output
visit_id : int
(optional) `visit_id` of the page visit where this URL was loaded
list_placeholder(length, is_pg=False)
Returns a (?,?,?,?...) string of the desired length
optimize_db(cursor)
Set options to make sqlite more efficient on a high memory machine
FILE /home/john/git/uiowa-irl/uiowa-irl-utils/irlutils/irlutils/url/crawl/database_utils.py
Help on module blocklist_utils:
NAME blocklist_utils
FUNCTIONS get_option_dict(request) Build an options dict for BlockListParser
Parameters
----------
request : sqlite3.Row
A single HTTP request record pulled from OpenWPM's http_requests table
public_suffix_list : PublicSuffixList
An instance of PublicSuffixList()
BINARY_OPTIONS = [
"script",
"image",
"stylesheet",
"object",
"xmlhttprequest",
"object-subrequest",
"subdocument",
"document",
"elemhide",
"other",
"background",
"xbl",
"ping",
"dtd",
"media",
"third-party",
"match-case",
"collapse",
"donottrack",
]
Returns
-------
dict
An "options" dictionary for use with BlockListParser
refs: [1] https://github.com/MoonchildProductions/UXP/blob/master/dom/base/nsIContentPolicyBase.idl
[2] https://adblockplus.org/en/filters#options
[3]
FILE /home/john/git/uiowa-irl/uiowa-irl-utils/irlutils/irlutils/url/crawl/blocklist_utils.py
Help on module domain_utils:
NAME domain_utils
FUNCTIONS get_hostname(url) strips out the hostname from a url
get_ps_plus_1(url, **kwargs)
Returns the PS+1 of the url. This will also return
an IP address if the hostname of the url is a valid
IP address.
An (optional) PublicSuffixList object can be passed with keyword arg 'psl',
otherwise a version cached in the system temp directory is used.
get_psl(location='public_suffix_list.dat')
Grabs an updated public suffix list.
get_stripped_query_string(url)
get_stripped_url(url, scheme=False)
Returns a url stripped to (scheme)?+hostname+path
get_stripped_urls(urls, scheme=False)
Returns a set (or list) of urls stripped to (scheme)?+hostname+path
hostname_subparts(url, include_ps=False, **kwargs)
Returns a list of slices of a url's hostname down to the PS+1
If `include_ps` is set, the hostname slices will include the public suffix
For example: http://a.b.c.d.com/path?query#frag would yield:
[a.b.c.d.com, b.c.d.com, c.d.com, d.com] if include_ps == False
[a.b.c.d.com, b.c.d.com, c.d.com, d.com, com] if include_ps == True
An (optional) PublicSuffixList object can be passed with keyword arg 'psl'.
otherwise a version cached in the system temp directory is used.
is_ip_address(hostname)
Check if the given string is a valid IP address
load_psl(function)
DATA PSL_CACHE_LOC = 'public_suffix_list.dat' absolute_import = _Feature((2, 5, 0, 'alpha', 1), (3, 0, 0, 'alpha', 0... print_function = _Feature((2, 6, 0, 'alpha', 2), (3, 0, 0, 'alpha', 0)...
FILE /home/john/git/uiowa-irl/uiowa-irl-utils/irlutils/irlutils/url/crawl/domain_utils.py
Help on module file_utils:
NAME file_utils
FUNCTIONS chmod(path, mode=777, recursive=False)
chown(path, recursive=False, owner='user', group='user')
compress_path(path)
cp(s, d)
file_ext(path, **kwargs)
file extension finder
kwargs:
path (str): path or file name
Returns:
dotted file extension of a file
Examples:
>>> file_ext('/path/to_file/with_ext/test.py')
.py
gen_find_files(**kwargs)
returns filenames that matches the given pattern under() a given dir
Kwargs:
file_pattern (str): a regex style string .
root (str): top level folder to begin search from.
Yields:
path (generator): matching path str
Examples:
gen_find_files(file_pattern="*.sql", root="/mnt/data/).
>>> gen_find_files(file_pattern="*.sql", root="/mnt/data/).__next__()
/mnt/data/first_folder/last_folder/file.sqlite
Reference:
[1] http://www.dabeaz.com/generators/
json_flatten(y)
flattens nested structures within a json file
Kwargs:
data (dict): data from nested dictionary
kv (dict): dictionary containing key,value pairs.
returns:
kv (dict): a dictionary object containing flattened structures
Examples:
data = {'k1':{'kv1':['v1', 'v2'], 'kv2': 'v3'}}
>>> json_flatten(data)
{'k1_kv1_0': 'v1', 'k1_kv1_1': 'v2', 'k1_kv2': 'v3'}
mkdir(d, mode=511, exist_ok=True)
mv(s, d)
rm(d)
rmsubtree(**kwargs)
Clears all subfolders and files in location
kwargs:
location (str): target directory to remove
Examples:
>>> rmsubtree(location="/path/to/target_dir").
tar_packer(tar_dir, **kwargs)
tars up directory
Kwargs:
dir (str): top level dir
compression (bool): compression type. gz, xz supported now
versbose (bool): True enables verbose
returns:
tar_path (generator): path to tar file
Examples:
tar_packer(dir="/path/to/top_level_dir", [compression=gz|xz]
>>>
/tmp/FZ4245_Zb/top_level_dir.tar
tar_unpacker(tar_path, **kwargs)
unpacks tar to a tmp directory.
Kwargs:
tar_path (str): tar file path
versbose (bool): True enables verbose
returns:
tmp_path (generator): extracted contents path
Examples:
tar_unpacker(tar_path="/mnt/data/tarfile.tar.gz").
>>> tar_unpacker(tar_path="/mnt/data/tarfile.tar.gz").
/tmp/FZ4245_Zb/
touch(d)
AUTHOR johncook
FILE /Users/johncook/git/uiowa-irl-utils/irlutils/file/file_utils.py
Help on module database_utils:
NAME database_utils
FUNCTIONS
build_index(cursor, column, tables)
Build an index on column for each table in tables
drop_tables(sqlite_con, tables=[])
fetchiter(cursor, arraysize=10000)
Generator for cursor results
get_channel_content(visit_id, channel_id, sqlite_cur, ldb_con, beautify=True)
Return javascript content for given channel_id.
Parameters
----------
visit_id : int
`visit_id` of the page visit where this URL was loaded
channel_id : string
`channel_id` to search content hash for
sqlite_cur : sqlite3.Cursor
cursor for crawl database
ldb_con : plyvel.DB
leveldb database storing javascript content
beautify : boolean
Control weather or not to beautify output
get_channel_content_with_hash(visit_id, channel_id, sqlite_cur, ldb_con, beautify=True)
Return javascript content for given channel_id.
Parameters
----------
visit_id : int
`visit_id` of the page visit where this URL was loaded
channel_id : string
`channel_id` to search content hash for
sqlite_cur : sqlite3.Cursor
cursor for crawl database
ldb_con : plyvel.DB
leveldb database storing javascript content
beautify : boolean
Control weather or not to beautify output
get_content(db, content_hash, compression='snappy', beautify=True)
Returns decompressed content from javascript leveldb database
get_ldb_content(ldb_addr, content_hash)
get_leveldb(db_path, compression='snappy')
Returns an open handle for a leveldb database
with proper configuration settings.
get_url_content(url, sqlite_cur, ldb_con, beautify=True, visit_id=None)
Return javascript content for given url.
Parameters
----------
url : string
url to search content hash for
sqlite_cur : sqlite3.Cursor
cursor for crawl database
ldb_con : plyvel.DB
leveldb database storing javascript content
beautify : boolean
Control weather or not to beautify output
visit_id : int
(optional) `visit_id` of the page visit where this URL was loaded
get_url_content_with_hash(url, sqlite_cur, ldb_con, beautify=True, visit_id=None)
Return javascript content for given url.
Parameters
----------
url : string
url to search content hash for
sqlite_cur : sqlite3.Cursor
cursor for crawl database
ldb_con : plyvel.DB
leveldb database storing javascript content
beautify : boolean
Control weather or not to beautify output
visit_id : int
(optional) `visit_id` of the page visit where this URL was loaded
list_placeholder(length, is_pg=False)
Returns a (?,?,?,?...) string of the desired length
optimize_db(cursor)
Set options to make sqlite more efficient on a high memory machine
FILE /Users/johncook/git/uiowa-irl-utils/irlutils/url/crawl/database_utils.py
problem in irlutils/url/crawl/domain_utils.py - ModuleNotFoundError: No module named 'publicsuffix2' problem in irlutils/url/crawl/blocklist_utils.py - ModuleNotFoundError: No module named 'publicsuffix2' Help on module analysis_utils:
NAME analysis_utils
FUNCTIONS add_col_bare_script_url(js_df) Add a col for script URL without scheme, www and query.
add_col_set_of_script_ps1s_from_call_stack(js_df)
map psls to call stack in scripts
Args:
js_df (pandas dataFrame): javascript table
add_col_set_of_script_urls_from_call_stack(js_df)
add_col_unix_timestamp(df)
datetime_from_iso(iso_date)
Convert from ISO.
get_cookie(headers)
A special case of parse headers that extracts only the cookie.
Args:
headers (list): http request headers
Returns:
item(string): name value pairs of a cookie
get_func_and_script_url_from_initiator(initiator)
Remove line number and column number from the initiator.
get_host_from_url(url)
get_initiator_from_call_stack(call_stack)
Return the bottom element of the call stack.
get_initiator_from_req_call_stack(req_call_stack)
Return the bottom element of a request call stack.
Request call stacks have an extra field (async_cause) at the end.
get_requests_from_visits(con, visit_ids)
Extact http requests matching visit_ids
Args:
con (sqlite3.connection): A connection to a sqlite data base
visit_ids (list): A list of ids for from each web visit
Returns:
df(pandas DataFrame): A table containing visits that conincide with http requests
get_responses_from_visits(con, visit_ids)
Extact http requests matching visit_ids
Args:
con (sqlite3.connection): A connection to a sqlite data base
visit_ids (list): A list of ids for from each web visit
Returns:
df(pandas DataFrame): A table containing visits that conincide with http responses
get_script_url_from_initiator(initiator)
Remove the scheme and query section of a URL.
get_script_urls_from_call_stack_as_set(call_stack)
Return the urls of the scripts involved in the call stack as a set.
get_set_cookie(header)
A special case of parse headers that returns 'Set-Cookies'
Args:
headers (string): http request headers
Returns:
item(string): name value pairs of Set Cookie field
get_set_of_script_hosts_from_call_stack(call_stack)
Return the urls of the scripts involved in the call stack.
get_set_of_script_ps1s_from_call_stack(script_urls, du)
extract a unique set of urls from a list of urls detected in scripts
Args:
script_urls (list): A list of urls extracted from javascripts
du (list): A domain utilities instance
Returns:
psls(set): a set of tld+1(string)
get_set_of_script_urls_from_call_stack(call_stack)
Return the urls of the scripts involved in the call stack as a
string.
parse_headers(header)
parses http header into kv pairs
Args:
headers (string): http request headers
Returns:
kv(dict): name value pairs of http headers
strip_scheme_www_and_query(url)
Remove the scheme and query section of a URL.
DATA absolute_import = _Feature((2, 5, 0, 'alpha', 1), (3, 0, 0, 'alpha', 0... print_function = _Feature((2, 6, 0, 'alpha', 2), (3, 0, 0, 'alpha', 0)...
FILE /Users/johncook/git/uiowa-irl-utils/irlutils/url/crawl/analysis_utils.py
Help on module chi2_proportions:
NAME chi2_proportions
FUNCTIONS chi2Proportions(count, nobs) A wrapper for the chi2 testing proportions based upon the chi-square test
Args:
count (:obj `list` of :obj`int` or a single `int`): the number of successes in nobs trials. If this is
array_like, then the assumption is that this represents the number of successes
for each independent sample
nobs (:obj `list` of :obj`int` or a single `int`): The number of trials or observations, with the same length as count.
Returns:
chi2 (:obj `float`): The test statistic.
p (:obj `float`): The p-value of the test
dof (int) : Degrees of freedom
expected (:obj `list`): list same shape as observed. The expected frequencies, based on the marginal sums of the table
References:
[1] "scipy.stats.chi2_contingency" https://docs.scipy.org/doc/scipy/reference/generated/scipy.stats.chi2_contingency.html
[2] "statsmodels.stats.proportion.proportions_chisquare" https://www.statsmodels.org/dev/generated/statsmodels.stats.proportion.proportions_chisquare.html
[3] (1, 2) “Contingency table”, https://en.wikipedia.org/wiki/Contingency_table
[4] (1, 2) “Pearson’s chi-squared test”, https://en.wikipedia.org/wiki/Pearson%27s_chi-squared_test
[5] (1, 2) Cressie, N. and Read, T. R. C., “Multinomial Goodness-of-Fit Tests”, J. Royal Stat. Soc. Series B, Vol. 46, No. 3 (1984), pp. 440-464.
Sample use:
input:
[10,10,20] - number of successes in trial
[20,20,20] - number of trials
chi2Proportions([10,10,20], [20,20,20])
output:
(2.7777777777777777,
0.24935220877729619,
2,
array([[ 12., 12., 16.],
[ 18., 18., 24.]]))
FILE /Users/johncook/git/uiowa-irl-utils/irlutils/stats/tests/proportions/chi2_proportions.py
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