Sousveillance infrastructure for state mandatory-disclosure portals — parliamentary questions, committee reports, budget data, and state assembly records.
Project description
commoner-probe
Sousveillance infrastructure for the state's mandatory disclosure systems.
A commoner probes the state's own paperwork — parliamentary questions, committee
reports, state assembly records — and turns it into evidence. commoner-probe
automates the acquisition so you can focus on the analysis.
pip install "commoner-probe[all]"
import commoner_probe as probe # alias used throughout these docs
Why this exists
Parliamentary questions, committee reports, floor debates, bills, state assembly records, CSR exports, public mining-district disclosures, Union Budget files, and faculty-recruitment ads from public universities are mandatory or official public disclosures. The data exists. The problem is that it lives across undocumented portals with inconsistent APIs, no bulk export, and PDFs that require extraction to read programmatically.
commoner-probe handles the entire acquisition pipeline:
public disclosure portals → manifest.jsonl → files/PDFs → extracted records → your analysis
(metadata) (raw source) (structured text)
Classification, topic modelling, and dossier generation are intentionally out of scope. This library does one thing: acquire public disclosure data into provenance-rich, schema-validated JSONL and source files.
Install
Requires Python 3.10+. Released on PyPI.
pip install "commoner-probe[all]" # everything needed for acquisition + extraction
pip install "commoner-probe[all,dev]" # + schema validation, tests, lint
The core package has zero required dependencies; each capability is an extra:
| Extra | Pulls in | Needed for |
|---|---|---|
http |
requests | any network acquisition |
pdf |
pdfminer.six | extract-answers, PDF text extraction |
budget |
lxml | budget (RBI page discovery) |
academia |
beautifulsoup4, pdfminer.six | academic-jobs |
pandas |
pandas | Corpus.to_dataframe() |
all |
requests, pdfminer.six, lxml, beautifulsoup4 | everything above except pandas |
dev |
jsonschema, pytest, ruff, lxml, beautifulsoup4 | validate, running the test suite |
Five-minute quickstart
Step 1 — Write a topic profile
{
"name": "climate",
"description": "Climate change and environmental policy",
"search_groups": {
"climate": ["climate change", "global warming", "net zero"],
"air_quality": ["air pollution", "AQI", "particulate matter"]
},
"lok_sabha_ministries": ["ENVIRONMENT", "POWER", "PETROLEUM"],
"rajya_sabha_ministry_likes": ["ENVIRONMENT", "POWER", "PETROLEUM"]
}
Step 2 — Probe parliamentary questions
commoner-probe sansad \
--topic topic.json \
--out data/climate \
--house both \
--from-date 2019-01-01
Writes data/climate/manifest.jsonl — one record per question from both houses.
Step 3 — Probe committee reports
commoner-probe committees \
--topic topic.json \
--out data/climate-committees \
--house both
One record per standing committee report (LS and RS DRSCs).
Step 4 — Extract text from PDFs
commoner-probe extract-answers --out data/climate
commoner-probe extract-answers --out data/climate-committees
Parses downloaded PDFs into answers.jsonl: Q/A pairs, committee
recommendations, and government responses.
Step 5 — Load in Python
import commoner_probe as probe
c = probe.Corpus("data/climate")
for r in c.manifest_qa():
print(r.date, r.house, r.ministry, r.title)
for pair in c.join_qa():
if pair.answers:
print(pair.manifest.title)
print(pair.answers[0].question_text[:200])
What you can study
Parliamentary questions (Lok Sabha + Rajya Sabha)
Each record carries who asked (MP name, party, state), which ministry answered,
question number, type (starred / unstarred), date, session, and the full PDF.
After extract-answers — extracted question and answer text.
Typical research questions: ministry responsiveness rates, which MPs ask the most questions by topic, how the same policy question evolves across sessions, party-level questioning patterns.
import commoner_probe as probe
from collections import Counter
c = probe.Corpus("data/climate")
ministry_counts = Counter(r.ministry for r in c.manifest_qa())
for ministry, n in ministry_counts.most_common(10):
print(f"{ministry}: {n}")
Standing committee reports (LS + RS DRSCs)
Committee reports come in four shapes:
report_type |
What it is |
|---|---|
demands_for_grants |
Annual budget scrutiny — the committee dissects ministry spending |
bill |
The committee's examination of a pending bill before it passes |
subject |
Own-initiative policy investigation — deepest substantive record |
action_taken |
The government's formal response to the committee's recommendations |
Action Taken Reports (ATRs) are the government's formal written responses to
committee recommendations. The atr-linkage command connects each ATR back
to the original report, enabling lifecycle analysis:
recommendation → government rejection/acceptance → follow-up.
import commoner_probe as probe
c = probe.Corpus("data/climate-committees")
for chain in c.join_atr_chain():
print(f"Report: {chain.original and chain.original.title}")
print(f" Recommendations: {len(chain.original_observations)}")
print(f" Government responses: {len(chain.atr_answers)}")
Floor debates (Lok Sabha)
debates acquires the Lok Sabha "text of debate" record: one PDF transcript per
sitting day. It enumerates sitting dates per Lok Sabha / session, then fetches
each day's transcript (optionally downloading the PDF with a SHA-256). It is a
day-by-day document acquisition — verbatim text and per-speaker segmentation are
left to a downstream extraction step. The richest longitudinal record of what is
said on the floor.
commoner-probe debates \
--out data/debates \
--loksabhas 18 \
--download
Bills and legislation
bills fetches the sansad.in legislation catalog — every bill with its
introduction date, stage dates, and status — deduplicated by a stable key (no
topic profile needed; the bill list is an exhaustive catalog). Enables tracking
legislative velocity, committee-scrutiny rates, and private-member-bill outcomes.
commoner-probe bills \
--out data/bills \
--house both \
--bill-type "Private Member"
State assembly records (NeVA portals)
From 2020, sub-national governments have been adopting NIC's NeVA (National
e-Vidhan Application) infrastructure under a centrally sponsored scheme run
by the Ministry of Parliamentary Affairs. Most state assemblies are onboarding,
though coverage varies. The state-assembly command probes any NeVA portal:
commoner-probe state-assembly \
--portal gujarat \
--state GJ \
--out data/gujarat-assembly \
--assemblies 15
State Acts, amendments, rules, and notifications (India Code)
India Code (indiacode.nic.in) is the government's own statutory-instrument
archive: every state's Acts plus their amendments, rules, regulations,
notifications, orders, circulars, ordinances, and statutes, each with a
downloadable PDF. indiacode enumerates a state's full Act catalog and
parses every instrument found on each Act's page.
commoner-probe indiacode --out data/indiacode --states "West Bengal"
import commoner_probe as probe
c = probe.Corpus("data/indiacode")
for r in c.manifest_indiacode():
if r.is_amendment:
print(r.state, r.short_title, r.instrument_date, r.description)
MCA CSR company-spend exports
The Ministry of Corporate Affairs CDM CSR data page exposes downloadable CSV exports by financial year. These records compare reporting/spending companies and project-sector amounts. They do not identify CSR consultants or implementing agencies unless MCA publishes that in the source export.
commoner-probe mca-csr \
--out data/mca-csr \
--years 2022-23,2021-22
import commoner_probe as probe
c = probe.Corpus("data/mca-csr")
for r in c.manifest_mca_csr():
print(r.financial_year, r.status, r.filename)
Mines DMFT / PMKKKY disclosures
mines-dmft acquires raw Ministry of Mines and Odisha DMFT public disclosure
files. Ministry CSVs are current cumulative snapshots timestamped by the
source; treat them as snapshots, not fiscal-year series.
commoner-probe mines-dmft \
--out data/mines-dmft \
--sources mines-gov-in,odisha
Pair the executive disclosure snapshots with Sansad oversight records without flattening the source families:
commoner-probe evidence dmft \
--mines-dmft-dir data/mines-dmft \
--sansad-dir data/sansad/mines-dmft-pmkkky \
--out data/evidence/dmft.json
Union Budget & RBI State-Finances
budget acquires fiscal source files: Union Budget SBE (Statement of Budget
Estimates) spreadsheets — a static table of per-fiscal-year URL templates expanded
across the requested demand numbers — and RBI State-Finances documents discovered
from the RBI publication page. Each file is downloaded with existence-skip and a
SHA-256, one budget_source_file record per file. Acquisition only: the
spreadsheet→rows parsing stays downstream (it needs pandas).
commoner-probe budget \
--out data/budget \
--sources union-budget,rbi-state-finances \
--demands 101,1,33
Academic faculty-recruitment ads
academic-jobs crawls Indian higher-education-institution (HEI) career pages for
faculty-recruitment advertisements, driven by a bundled institution registry. Each
ad becomes one academic_job_posting record; fetch/parse failures and
empty-result cases are recorded so coverage gaps are visible rather than silent.
(Migrated from the academiaindia project.)
commoner-probe academic-jobs \
--out data/academic-jobs \
--institutions iit-kharagpur,iit-bombay
All commands
commoner-probe sansad — parliamentary questions
commoner-probe sansad \
--topic topic.json \
--out data/climate \
--house both \
--from-date 2019-01-01 \
--to-date 2026-01-01
| Flag | Default | What it does |
|---|---|---|
--topic |
required | Path to topic profile JSON |
--out |
required | Output corpus directory |
--house |
both |
ls, rs, or both |
--from-date |
— | Earliest question date (YYYY-MM-DD) |
--to-date |
— | Latest question date |
--qtype |
both |
starred, unstarred, or both |
--sessions |
1-267 |
Rajya Sabha session range |
--no-download |
off | Skip PDF downloads; metadata only |
--with-entities |
off | Resolve asker names to stable entity IDs |
--max-records N |
— | Stop after N new records per house (smoke-test) |
--max-buckets N |
— | Only run the first N search/ministry combos |
--reset |
off | Wipe existing manifest and start fresh |
commoner-probe committees — standing committee reports
commoner-probe committees \
--topic topic.json \
--out data/committees \
--house both \
--committees finance,education
| Flag | Default | What it does |
|---|---|---|
--committees |
all | Comma-separated committee slugs |
--lok-sabha-no |
18 |
LS number for LS reports |
--from-date / --to-date |
— | Date range filter |
--no-download |
off | Skip PDF downloads |
Available LS committees (16 DRSCs):
agriculture, chemicals, coal, communications, consumer_affairs,
defence, energy, external_affairs, finance, housing, labour,
petroleum, railways, rural_development, social_justice, water_resources
Available RS committees (8 DRSCs):
commerce, education, health, home_affairs, industry, personnel,
science, transport
commoner-probe extract-answers — PDF text extraction
commoner-probe extract-answers --out data/climate
commoner-probe extract-answers --out data/climate --refresh
Reads manifest.jsonl and downloaded PDFs; writes answers.jsonl with:
qa_response— (question_text, answer_text) pairs from Q/A PDFsatr_response— (recommendation_no, recommendation_text, response_text) triples from ATR PDFsdfg_recommendation— numbered observation paragraphs from DFG/Bill/Subject PDFs
Requires pip install "commoner-probe[pdf]".
commoner-probe atr-linkage — ATR → original report
commoner-probe atr-linkage --out data/committees
Writes atr_linkage.jsonl — each ATR linked back to the report it responds to.
Safe to re-run (idempotent overwrite).
commoner-probe state-assembly — state legislature records
commoner-probe state-assembly \
--portal gujarat \
--state GJ \
--out data/gujarat \
--assemblies 15
--portal/--state probe a single NeVA portal. --all crawls every
registered assembly portal instead (one subdirectory per portal under
--out), and --list-portals prints the bundled portal_code -> state_code / chamber / state_name registry (31 assemblies + 6 Legislative Councils)
and exits.
commoner-probe state-assembly --list-portals
commoner-probe state-assembly --all --out data/state-assemblies --assemblies 15
commoner-probe state-assembly-probe — NeVA coverage probe
NeVA's own status is ~28 of 36 Houses signed on with ~20 fully digital — so portal reachability does not imply data depth. This is a lightweight, per-portal presence check (not a crawl): it finds the latest assembly with sessions, samples one sitting date's question/paper counts, and counts members, without persisting any records.
commoner-probe state-assembly-probe --out data/neva-coverage.jsonl
commoner-probe state-assembly-probe --portals gujarat,bla --include-councils
| Flag | Default | What it does |
|---|---|---|
--out |
stdout only | Also append one JSONL coverage record per portal to this file |
--portals |
all 31 assemblies | Comma-separated portal_codes to limit the probe to |
--include-councils |
off | Include the 6 Legislative Council portals |
--max-assembly |
20 |
Highest assembly number to scan per portal |
commoner-probe mca-csr — MCA CSR company-spend exports
commoner-probe mca-csr \
--out data/mca-csr \
--years 2022-23
Downloads CSV exports from the MCA CDM CSR data page and writes one
manifest.jsonl record per financial year. Use --dry-run to print manifest
records without opening a network session.
commoner-probe mines-dmft — Ministry of Mines / DMFT files
commoner-probe mines-dmft \
--out data/mines-dmft \
--sources mines-gov-in,odisha
Downloads raw Ministry of Mines static CSV snapshots and Odisha DMFT public
JSON/report surfaces. Use --dry-run to print manifest records without opening
network sessions.
commoner-probe gmb — Gujarat Maritime Board disclosures
commoner-probe gmb --out data/gmb --sources all
Downloads Gujarat Maritime Board (gmbports.org) public disclosures: admin
(annual) reports in English + Gujarati, financial statements, per-port
cargo-traffic tables (parsed from HTML into a tidy long-format CSV —
table_section, operator_class, port_or_class, fiscal_year, tonnage_lakh_tonnes), publications, tariffs, circulars, tenders, RTI
disclosures, the Vision 2047 page, and news articles. Each page snapshot,
discovered PDF, and derived CSV becomes one gmb_document manifest record
with a SHA-256.
| Flag | Default | What it does |
|---|---|---|
--out |
required | Output directory |
--sources |
all |
Comma-separated: admin-reports, publications-misc, financials, traffic, tariff, circulars, tenders, rti, vision-2047, news-articles |
--dry-run |
off | Print manifest records without opening network sessions |
Note: gmbports.org was unreachable from the development environment when
this adapter was finalised (DNS resolved but every TCP connection attempt
timed out — a network-level issue, not a code issue). The adapter is built
and tested against the documented source contract (see
_org/requests/0006-gmb-and-gujarat-legislative-cross-level.md) but has not
been independently live-verified against the real site in this session —
live-check the actual page structure before a real acquisition run.
commoner-probe bills — bills & legislation catalog
commoner-probe bills \
--out data/bills \
--house both
| Flag | Default | What it does |
|---|---|---|
--out |
required | Output corpus directory |
--house |
both |
ls, rs, or both (the endpoint lives under api_rs for both) |
--bill-type |
all types | Filter by bill type, e.g. Government or Private Member |
--max-records |
— | Stop after N new records per house (smoke-test brake) |
--dry-run |
off | Emit one planning record per house without fetching |
commoner-probe debates — Lok Sabha floor-debate transcripts
commoner-probe debates \
--out data/debates \
--loksabhas 18 \
--download
| Flag | Default | What it does |
|---|---|---|
--out |
required | Output corpus directory |
--loksabhas |
18 |
Comma-separated Lok Sabha numbers, e.g. 17,18 |
--sessions |
all | Comma-separated session numbers to limit to |
--from-date / --to-date |
— | ISO date bounds (YYYY-MM-DD) |
--max-records |
— | Stop after N new records per Lok Sabha |
--download |
off | Download each day's transcript PDF (+ sha256) |
--dry-run |
off | List candidate sitting dates without fetching PDFs |
commoner-probe indiacode — state Acts, amendments, rules, notifications
commoner-probe indiacode --out data/indiacode --states "West Bengal,Sikkim"
Acquires India Code (indiacode.nic.in) state statutory instruments: the Act
itself plus every Rule, Regulation, Notification, Order, Circular, Ordinance,
and Statute found on that Act's page. Amendments are not a distinct category
on the site — they surface as Notification (occasionally Rule) rows whose
description contains "Amendment"; each record's is_amendment flag is
derived from that text. --list-states prints the bundled state -> parent-
handle registry (36 states/UTs); Central Acts are a separate collection tree
and out of scope.
commoner-probe indiacode --list-states
commoner-probe indiacode --out data/indiacode --all-states --max-acts 5
| Flag | Default | What it does |
|---|---|---|
--out |
required unless --list-states |
Output corpus directory |
--states |
— | Comma-separated state names, e.g. 'West Bengal,Sikkim' |
--all-states |
off | Probe every registered state |
--list-states |
off | Print the state -> parent-handle table and exit |
--max-acts |
— | Stop after N Acts per state (smoke-test brake) |
--no-download |
off | Record instruments without downloading PDFs |
--rpp |
100 |
Results per browse page (India Code enumeration) |
--dry-run |
off | Emit one planning record per state without fetching |
commoner-probe budget — Union Budget & RBI State-Finances files
commoner-probe budget \
--out data/budget \
--sources union-budget \
--demands 101
| Flag | Default | What it does |
|---|---|---|
--out |
required | Output directory |
--sources |
union-budget |
Comma-separated: union-budget, rbi-state-finances |
--demands |
101 |
Comma-separated Union Budget demand numbers, e.g. 101,1,33 |
--rbi-url |
RBI default | RBI State-Finances publication page to discover documents from |
--dry-run |
off | Print manifest records without writing (offline for union-budget) |
commoner-probe academic-jobs — HEI faculty-recruitment ads
commoner-probe academic-jobs \
--out data/academic-jobs \
--institutions iit-kharagpur
| Flag | Default | What it does |
|---|---|---|
--out |
required | Output directory |
--institutions |
all in registry | Comma-separated institution ids (e.g. iit-kharagpur) |
--registry |
bundled | Path to an alternative institutions_registry.json |
--no-download |
off | Skip PDF download + text extraction (listing-page heuristics only) |
--dry-run |
off | List which institutions would be probed without fetching |
commoner-probe evidence dmft — cross-source evidence bundle
commoner-probe evidence dmft \
--mines-dmft-dir data/mines-dmft \
--sansad-dir data/sansad/mines-dmft-pmkkky \
--out data/evidence/dmft.json
Builds a JSON bundle with separate executive_disclosure and
parliamentary_oversight sections. It does not merge unlike source families
into one table.
commoner-probe stats — corpus health
commoner-probe stats --out data/climate
commoner-probe stats --out data/climate --json
commoner-probe validate — schema validation
commoner-probe validate --out data/climate
Validates every JSONL file against its JSON Schema. Exits 1 on errors.
Requires [dev] extra.
Topic profile
Controls what the probe acquires:
{
"name": "libraries",
"description": "Public library infrastructure and policy",
"search_groups": {
"public_libraries": ["public library", "rural library"],
"policy": ["National Mission on Libraries", "RRRLF"]
},
"lok_sabha_ministries": ["CULTURE", "EDUCATION"],
"rajya_sabha_ministry_likes": ["CULTURE", "EDUCATION"]
}
search_groups— keyword groups for LS full-text search. Each query runs independently; results are union-deduped onkey.lok_sabha_ministries— exact ministry filter for LS (case-sensitive).rajya_sabha_ministry_likes— ministry LIKE filter for RS (prefix match).
See examples/topics/ for working examples.
Output files
| File | Contents |
|---|---|
manifest.jsonl |
One record per question or committee report |
_runs.jsonl |
Audit log: scope, topic hash, errors, per-bucket counts |
answers.jsonl |
Extracted Q/A and recommendation/response pairs |
atr_linkage.jsonl |
ATR → original report linkages |
| source CSV/JSON/HTML files | Raw source files for source-specific probes such as MCA CSR and DMFT |
pdfs/ls/ |
Downloaded LS PDFs |
pdfs/rs/ |
Downloaded RS PDFs |
probe.log |
Human-readable probe progress log |
For complete field-level documentation see docs/SCHEMAS.md.
Entity resolution (--with-entities)
Pass --with-entities to commoner-probe sansad to resolve asker names to
stable entity_id values. On first run the entity store is populated from
the sansad.in MP roster; subsequent runs reuse the local cache.
Resolved entity IDs join across corpora and sessions — useful for studying the same MP's questioning behaviour over time or across houses.
Python API
import commoner_probe as probe
c = probe.Corpus("data/climate")
# Typed iterators
for r in c.manifest_qa(): # ManifestQaRecord
...
for r in c.manifest_committee_reports(): # ManifestCommitteeReportRecord
...
for r in c.answers_qa(): # AnswerQaResponse
...
for r in c.answers_atr(): # AnswerAtrResponse
...
for r in c.answers_dfg(): # AnswerDfgRecommendation
...
for r in c.atr_linkages(): # AtrLinkageRecord
...
for r in c.manifest_mca_csr(): # ManifestMcaCsrRecord
...
for r in c.manifest_mines_dmft(): # ManifestMinesDmftRecord
...
for r in c.runs(): # RunRecord
...
# Join helpers
for pair in c.join_qa(): # manifest + extracted answers
...
for chain in c.join_atr_chain(): # ATR + original report + observations
...
# pandas (pip install commoner-probe[pandas])
df = c.to_dataframe("manifest_committee_reports")
See examples/usage.py for a runnable walkthrough.
See docs/ENDPOINTS.md for source-family endpoint notes.
Contributing
Bug reports, portal breakage reports, and pull requests are welcome at
github.com/CommonerLLP/commoner-probe.
See CONTRIBUTING.md for development setup and conventions,
and CODE_OF_CONDUCT.md for community expectations.
Release history lives in CHANGELOG.md.
Government portals change without notice — if a probe stops working, an issue
with the failing command and its probe.log output is the most useful report.
License
MIT License — see LICENSE.
commoner-probe is sousveillance infrastructure, built for the commons. It is
released under the permissive MIT license so it can serve as a shared
acquisition floor that any downstream project — including the other repos in the
CommonerLLP federation, whatever their own licenses — can build on without
copyleft friction.
Upcoming
MP profiles and career timelines
Structured biographical data for each member: constituency, state, party, terms served, educational background, declared profession. Pairs with the Q/A corpus for studies of how MP background predicts parliamentary participation.
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https://docs.pypi.org/attestations/publish/v1 -
Subject name:
commoner_probe-0.7.0-py3-none-any.whl -
Subject digest:
1766b45df2dcf0a1240727c73e39b0e7afcf91b130d8f945f3fff7ba41a1e108 - Sigstore transparency entry: 2063395967
- Sigstore integration time:
-
Permalink:
CommonerLLP/commoner-probe@a3e1914c0ae2fa819079d3e93d117be5b5c171b4 -
Branch / Tag:
refs/tags/v0.7.0 - Owner: https://github.com/CommonerLLP
-
Access:
public
-
Token Issuer:
https://token.actions.githubusercontent.com -
Runner Environment:
github-hosted -
Publication workflow:
release.yml@a3e1914c0ae2fa819079d3e93d117be5b5c171b4 -
Trigger Event:
push
-
Statement type: