Skip to main content

A package for interacting with PrISMa Platform APIs. PrISMa is a holistic system for numerical synthesis and assessment of Metal-Organic Frameworks and their applications, for Direct Air Capture of CO2. For more information, see: https://prisma.hw.ac.uk.

Project description

PrISMa API

Python client for the PrISMa platform APIs.

This package provides:

  • legacy v1 wrappers on the main api object
  • a larger v2 REST client on api.v2
  • local config-based API-key management

PrISMa is a platform for numerical synthesis and assessment of metal-organic frameworks and related carbon-capture workflows.

Installation

From PyPI

pip install prisma_api

Requirements

  • Python 3.10+
  • Runtime dependencies are installed automatically from pyproject.toml

Authentication and configuration

The client uses an API key stored in a local config file.

First-time setup

import prisma_api

api = prisma_api.init()

On first use, the package creates a config file and prompts for an API key.

Upgrades

pip install --upgrade prisma_api

Find the config path

from prisma_api.config import locate_config

print(locate_config())

Typical locations:

  • macOS/Linux: ~/.config/prisma_api/config.yaml
  • Windows: %APPDATA%/prisma-api/prisma_api/config.yaml

Create or update the config programmatically

from prisma_api.config import create_config_file

create_config_file(api_key="YOUR_API_KEY_HERE")

Environment-variable mode

If you do not want to use the config file:

export PRISMA_API_KEY="YOUR_API_KEY_HERE"
export PRISMA_API_DEV="False"
from prisma_api.prisma_api import prisma_api

api = prisma_api(use_config_file=False)

Quick start

import prisma_api

api = prisma_api.init()

# v2 list endpoints return JSON by default in the main client
materials = api.v2.list_materials(name="ABEX")
print(materials[:2])

# switch list endpoints to pandas DataFrames if preferred
api.set_return_format("dataframe")
materials_df = api.v2.list_materials(name="ABEX")
print(materials_df.head())

Flowsheets

import prisma_api

api = prisma_api.init()

flowsheet = api.v2.get_flowsheet(name="dac_min")

Return formats

All v2 list endpoints support two formats:

  • json: returns list[dict]
  • dataframe: returns pandas.DataFrame

Detail endpoints always return dict.

api.set_return_format("json")
records = api.v2.get_molecules()

api.set_return_format("dataframe")
df = api.v2.get_molecules()

Main objects

  • prisma_api.init() Returns the main client object.
  • api Legacy v1 wrappers plus configuration helpers.
  • api.v2 PrismaAPIv2 instance with the v2 REST surface.

v1 wrappers

The main client exposes these v1 methods:

  • get_mofs(payload={})
  • get_carbon_isotherms(payload={})
  • get_carbon_data_nested(payload={}, safe_names=False)
  • get_materials_data(payload={}, separate_experimental=True)
  • update_adsorption_singlepoint(df)
  • update_heat_capacity_all_tidy(df)
  • update_isotherm_h2(df)
  • update_mofchecker(df)
  • update_zeopp_metrics(df)

Configuration helpers on the main client:

  • set_return_format(fmt)
  • update_dev_mode(dev)

Module-level helpers exported from the package:

  • prisma_api.init
  • prisma_api.PrismaAPIv2
  • prisma_api.update_dev_mode
  • prisma_api.update_dev_host_port
  • prisma_api.locate_config

v2 wrapper list

All methods below are available on api.v2.

Health and flowsheets

  • health()
  • get_flowsheet(name="dac_min")

Materials and bundles

  • list_materials(name=None, limit=10000)
  • get_material(material_id)
  • get_materials_psdi(name=None, limit=500, offset=0)
  • get_material_psdi(material_id)
  • get_material_property_bundle(mof, sim_or_exp=None, good_structure=None, limit=500, offset=0, query=None)
  • preflight_material_check(name)

Case bundles and pack builders

  • get_cases_bundle(name=None, source=None, sink=None, region=None, limit_cases=100, limit_props=2000)
  • build_case_spec(case_id)
  • build_scenario_spec(scenario_id)
  • build_case_pack(case_id, scenario_id=None)
  • list_case_packs(source=None, sink=None, region=None, study=None, include_scenarios=False, limit=100, offset=0)

Catalog and reference data

  • get_molecules(name=None, limit=500, offset=0)
  • get_molecule(molecule_id)
  • get_elements(symbol=None, name=None, limit=500, offset=0)
  • get_element(element_id)
  • get_regions(code=None, name=None, limit=500, offset=0)
  • get_region(region_id)
  • get_sources(name=None, limit=500, offset=0)
  • get_source(source_id)
  • get_sinks(name=None, limit=500, offset=0)
  • get_sink(sink_id)
  • get_transport_scenarios(name=None, limit=500, offset=0)
  • get_transport_scenario(ts_id)
  • get_utilities(name=None, limit=500, offset=0)
  • get_utility(utility_id)
  • get_references(name=None, doi=None, limit=500, offset=0)
  • get_reference(ref_id)
  • get_transports(name=None, limit=500, offset=0)
  • get_transport(transport_id)
  • get_subsystems(name=None, type=None, limit=500, offset=0)
  • get_subsystem(subsystem_id)
  • get_properties(name=None, domain=None, category=None, object_id=None, limit=500, offset=0)
  • get_property(property_id)
  • get_equipment(name=None, group=None, limit=500, offset=0)
  • get_equipment_item(equipment_id)
  • get_equipment_costs(equipment_id=None, limit=500, offset=0)
  • get_equipment_cost(cost_id)
  • get_equipment_designs(equipment_id=None, key=None, limit=500, offset=0)
  • get_equipment_design(design_id)
  • get_process_conditions(name=None, type=None, limit=500, offset=0)
  • get_process_condition(condition_id)
  • get_process_configurations(name=None, type=None, limit=500, offset=0)
  • get_process_configuration(config_id)
  • get_contactor_configurations(name=None, type=None, limit=500, offset=0)
  • get_contactor_configuration(config_id)
  • get_cost_indices(year=None, limit=500, offset=0)
  • get_cost_index(index_id)
  • get_constants(param=None, limit=500, offset=0)
  • get_constant(constant_id)
  • get_mea_baselines(name=None, limit=500, offset=0)
  • get_mea_baseline(mea_id)
  • get_mea_kpis(name=None, category=None, limit=500, offset=0)
  • get_mea_kpi(kpi_id)

Science data

  • get_isotherm(mof=None, molecule=None, temperature_min=None, temperature_max=None, sim_or_exp=None, good_structure=None, limit=500, offset=0)
  • get_water_kpis(mof=None, molecule=None, source=None, sim_or_exp=None, good_structure=None, limit=500, offset=0)
  • get_carbon_zeopp(mof=None, good_structure=None, limit=500, offset=0)
  • get_carbon_zeopp_item(item_id)
  • get_carbon_zeopp_experimental(mof=None, limit=500, offset=0)
  • get_carbon_zeopp_experimental_item(item_id)

TEA, LCA, cases, and scenarios

  • get_output_kpis(scenario_id=None, mof=None, good_structure=None, limit=500, offset=0)
  • get_output_kpi(kpi_id)
  • upsert_output_kpis(df)
  • get_region_costs(region=None, name=None, year=None, limit=500, offset=0)
  • get_region_cost(rc_id)
  • upsert_region_costs(df)
  • get_ambient_parameters(name=None, limit=500, offset=0)
  • get_ambient_parameter(ap_id)
  • upsert_ambient_parameters(df)
  • get_cases(source=None, sink=None, region=None, study=None, limit=500, offset=0)
  • get_case(case_id)
  • get_scenarios(case_id=None, name=None, type=None, limit=500, offset=0)
  • get_scenario(scenario_id)
  • get_screening_summaries(scenario_id=None, limit=500, offset=0)
  • get_screening_summary(summary_id)

Examples

Materials

import prisma_api

api = prisma_api.init()

materials = api.v2.list_materials(name="ABEX")
first = materials[0]
detail = api.v2.get_material(first["id"])

PSDI detail

psdi = api.v2.get_materials_psdi(name="Lewatit")
first_psdi = psdi[0]
record = api.v2.get_material_psdi(first_psdi["id"])

Flowsheet retrieval

flowsheet = api.v2.get_flowsheet(name="dac_min")
print(flowsheet["template_id"])

Advanced property-bundle query

get_material_property_bundle supports a generic query dictionary for more complex endpoint-specific filtering.

Supported keys are:

  • common
  • materials
  • isotherms
  • zeopp_simulated
  • zeopp_experimental
  • water_kpis

Merge precedence is:

  • defaults
  • common
  • endpoint-specific filters
bundle = api.v2.get_material_property_bundle(
        "HKUST",
        good_structure=True,
        query={
                "common": {"limit": 50},
                "materials": {"limit": 20},
                "isotherms": {
                        "molecule": "CO2",
                        "temperature_min": 273,
                        "temperature_max": 350,
                },
                "water_kpis": {"source": "DAC"},
        },
)

print(bundle.keys())

Cases and scenarios

cases = api.v2.get_cases(region="GB", limit=10)
case_id = cases[0]["id"]

case_detail = api.v2.get_case(case_id)
scenario_list = api.v2.get_scenarios(case_id=case_id)
case_pack = api.v2.build_case_pack(case_id)

Testing

Run the test suite with:

pytest tests/ -v --cov=prisma_api --cov-report=term-missing

Additional documentation

Notes

  • Production v2 base URL: https://prisma-platform.org/api/v2
  • Authentication header: X-API-Key
  • Local development routing is controlled through config and api.update_dev_mode(True)

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

prisma_api-0.3.3.tar.gz (47.3 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

prisma_api-0.3.3-py3-none-any.whl (35.3 kB view details)

Uploaded Python 3

File details

Details for the file prisma_api-0.3.3.tar.gz.

File metadata

  • Download URL: prisma_api-0.3.3.tar.gz
  • Upload date:
  • Size: 47.3 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.13

File hashes

Hashes for prisma_api-0.3.3.tar.gz
Algorithm Hash digest
SHA256 f29417b115d17b543483e94a55c9927d50234db5b8ae7ea522e84e4c624d0872
MD5 ef27add5fcbbcb47eb31d5c8aece525e
BLAKE2b-256 e0d7108c29b1cd3888dbcbe4e864937332e9accada2be59db0ebf86407ff0fbe

See more details on using hashes here.

Provenance

The following attestation bundles were made for prisma_api-0.3.3.tar.gz:

Publisher: publish.yml on RCCS-CaptureTeam/prisma_api

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file prisma_api-0.3.3-py3-none-any.whl.

File metadata

  • Download URL: prisma_api-0.3.3-py3-none-any.whl
  • Upload date:
  • Size: 35.3 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.13

File hashes

Hashes for prisma_api-0.3.3-py3-none-any.whl
Algorithm Hash digest
SHA256 02bc7ad7c3f81854405ae0b3fd92d3a6f16ab07f757811dd4d782366eb971299
MD5 35a17889adeda707b10e234d9e3bff25
BLAKE2b-256 e644d62fb9439f86944694fd9f07e2a61b5f13bb5b3fddfc0465de143ec85bcd

See more details on using hashes here.

Provenance

The following attestation bundles were made for prisma_api-0.3.3-py3-none-any.whl:

Publisher: publish.yml on RCCS-CaptureTeam/prisma_api

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page