Simple client for fetching data from mofdb
Project description
mofdb-client
A typed lightweight client wrapping the mofdb api.
Installation
python3 -m pip install mofdb_client
Example
from mofdb_client import fetch
for mof in fetch(vf_min=0.5, vf_max=0.99):
print(f"Mof {mof.name} has {len(mof.isotherms)} isotherms and elements {[str(e) for e in mof.elements]}")
print(f"This mof's cif file starts with: '{mof.cif.splitlines()[1]}'")
Mof UTEWUM_clean has 2 isotherms and elements ['Cu', 'H', 'C', 'N']
This mof's cif file starts with: '_audit_creation_date 2014-07-02'
Mof ZECKID_clean has 1 isotherms and elements ['Cu', 'H', 'C', 'N', 'O']
This mof's cif file starts with: '_audit_creation_date 2014-07-02'
Mof AQOMAW_clean has 2 isotherms and elements ['N', 'C', 'H', 'Co', 'Cl', 'O']
This mof's cif file starts with: '_cell_length_a 18.8345'
Mof AQOLOJ_clean has 2 isotherms and elements ['N', 'C', 'H', 'Co', 'Cl']
This mof's cif file starts with: '_cell_length_a 18.794'
Mof SENWOZ_clean has 2 isotherms and elements ['Zn', 'H', 'C', 'O']
This mof's cif file starts with: '_audit_creation_date 2014-07-02'
Mof IYUCIQ_clean has 2 isotherms and elements ['Dy', 'O', 'N', 'C', 'H']
This mof's cif file starts with: '_cell_length_a 29.162'
Mof ORUKET_clean has 2 isotherms and elements ['P', 'O', 'N', 'C', 'H', 'Mg']
This mof's cif file starts with: '_cell_length_a 18.571'
...
Parameters
fetch supports a number of arguements
- pressure_units: str
- loading_units: str
- mofid: str
- mofkey: str
- vf_min: float
- vf_max: float
- lcd_min: float
- lcd_max: float
- pld_min: float
- pld_max: float
- sa_m2g_min: float
- sa_m2g_max: float
- sa_m2cm3_min: float
- sa_m2cm3_max: float
- limit: int
- telemetry: bool default true (see telemetry section)
For valid values of pressure_units go here mof.tech.northwestern.edu/classifications.json. The mofdb_client will reject invalid
units/pressures and throw InvalidUnit
exception.
Design Note
fetch
is lazy because mofDB is large. Be sure to loop over it with for mof in fetch()
and NOT for mof in list(fetch())
since
building the list will download all the mofs before it starts processing and this will be very slow and may well run out of memory.
Compatibility
Tested on Python 3.9 likely to work on any 3.x.
Future Enhancements:
-
Retries for transient network failures with exponential backoff
-
Support for unit conversions
-
Only download some columns to save time/bandwidth?
Telemetry
This package may report crashes/calls to fetch in library code when the telemetry arg is true. This is done using sentry. Nothing in addition to fetch params and data captured by default by sentry is ever captured.
For example this could include:
- a stack trace including your code
- operating system version
- time
- python runtime version
- hostname
- anything else sentry captures by default
Project details
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