validCSV 0.0.1

A small and performance-oriented CSV header linter / verifier

validCSV

A small and performance-oriented CSV header verifier / linter with no external Python package dependencies. Just simple.

1. Usage

CSVheader(validator: dict, default: dict = None, ordered = 0, case = 0):

• ordered: set 1 if the header need to ordered as the same as your validator. Set O otherwise.
• case: set 0 if for ignoring the letter case. 1 otherwise.
• validator: A dictionary with a header key. The header should be an list that will represent your csv header

1.2. Verifier methods

CSVheader.verify_header(file) # Uses all config combinations (ordered, case) used at instantiation;

CSVheader.simple_verify_header(file,size = None, restrict: bool = True) # Simple leads to only check if the validator elements exists at CSV header; If size is defined, the verifier will check if the header have the length equal to size; restrict will invalidate headers with smaller lengths than your validator;

CSVheader.simple_verify_optional_header(file,size = None, restrict: bool = False, options=[]) # It is similiar to simple_verify_header() but, have set optional header columns. If the header have the same validator elements and at least one optional element, the verifier will return true (passed);

1.3. Example

from validCSV import CSVheader

validHydroNodes = CSVheader(validator={'header': ["id","name","type","block","watersystem","tia","min_alt","max_alt"]})
if validHydroNodes.verify_header(files[filename]):
    # Do something
    print("Test 1 Passed!")

validQualityStations = CSVheader(validator={'header': ["id","snirh","latitude","longitude"]})
if validQualityStations.simple_verify_header(files[filename]):
    # Do something
    print("Test 2 Passed!")

validQualityData = CSVheader(validator={'header': ["date"]})
if validQualityData.simple_verify_optional_header(files[filename], options=['id','snirh']):
    # Do something
    print("Test 3 Passed!")

2. Installation

pip3 install validCSV

2.1 Local installation

1. git clone https://github.com/bmalbusca/validCSV.git
2. cd validCSV
3. python3 setup.py bdist_wheel
4. pip3 install -e .

3. Dependencies

python >= 3.0.0

4. Test

4.1 Setup.py

• python3 setup.py sdist
• check-manifest --create