sejm_interpellations: Art. 4 wording, SIS credit, acquisition route and attribution sidecar (v2#107)
#157
by ppuzio - opened
- data/sejm_interpellations/sejm_interpellations.attribution.jsonl +3 -0
- data/sejm_interpellations/sejm_interpellations.license-evidence.json +10 -1
- data/sejm_interpellations/sejm_interpellations.md +65 -17
- src/build_sejm_interpellations_attribution.py +195 -0
- src/test_sejm_interpellations_attribution.py +266 -0
- src/test_sejm_interpellations_contract.py +19 -0
data/sejm_interpellations/sejm_interpellations.attribution.jsonl
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version https://git-lfs.github.com/spec/v1
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oid sha256:9f9c0724d82bfa7a56ccf92f70e22b1d6a93ef73fbec517a5e79476a7b9bc531
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size 6570256
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data/sejm_interpellations/sejm_interpellations.license-evidence.json
CHANGED
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@@ -68,6 +68,15 @@
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],
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"quote": "teksty interpelacji, którym Prezydium Sejmu nadało bieg, są udostępniane w Systemie Informacyjnym Sejmu"
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},
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"api_channel": "V: the API documentation, response headers and a sampled interpellation body (term 10, no. 1) carry no terms. No source states that API output is part of SIS; SIS is defined as the www.sejm.gov.pl system (Regulamin art. 201a; Zarządzenie Szefa KS 3/2006 § 1).",
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"reading": "I: the commercial-offer clause is not among the conditions Open Data Act art. 15 ust. 1 allows and runs against arts 14 ust. 1, 16 and 17; it could bind only through rights the Kancelaria holds (art. 14 ust. 2), and replies are written by ministries, not the Kancelaria. The source-note clause fits art. 15 ust. 1 pkt 1; the datasheet carries the requested wording as a precaution.",
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"source": "artifacts/rights_audit_2026-10/reports/citations/sejm_sis.md (W1-W4, D1, D4, D7, C1-C5, L7-L15)"
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],
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"not_checked": [
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"lawyer review of the statutory basis and of the SIS terms",
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-
"the live SIS page on the fetch date (bot challenge; latest
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"the Kancelaria Sejmu BIP 'Ponowne wykorzystywanie' page (bip.sejm.gov.pl did not connect; Wayback answered 429)",
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"whether the API interpellation bodies are the same documents as those on www.sejm.gov.pl",
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"the exact fetch date: 2026-09-05 is inferred from the findings log, the input file date and the last record (2026-09-03)",
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],
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"quote": "teksty interpelacji, którym Prezydium Sejmu nadało bieg, są udostępniane w Systemie Informacyjnym Sejmu"
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},
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"live_capture": {
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"retrieved": "2026-10-19",
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"method": "read in a browser; scripted fetches get a bot-verification page, so the content block was saved from the rendered page",
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"sha256_of_content_html": "cb4d21a44f5b09d50cdf95518aad77632b2750b5df6535c1d8aa894152b80469",
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"archived_in": "slayerlabs/polish-dynaword-v2, evidence/sis_copyright_2026-10-19.{content.html,meta.json,md} (pull request 121)",
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"source_note_present": true,
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"commercial_offer_clause_present": true,
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"reading": "Same source note and same commercial-offer clause as the 2026-06-03 capture. The page does not say the terms cover api.sejm.gov.pl output; the clause is reported as information, not as a licence term of this dataset."
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},
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"api_channel": "V: the API documentation, response headers and a sampled interpellation body (term 10, no. 1) carry no terms. No source states that API output is part of SIS; SIS is defined as the www.sejm.gov.pl system (Regulamin art. 201a; Zarządzenie Szefa KS 3/2006 § 1).",
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"reading": "I: the commercial-offer clause is not among the conditions Open Data Act art. 15 ust. 1 allows and runs against arts 14 ust. 1, 16 and 17; it could bind only through rights the Kancelaria holds (art. 14 ust. 2), and replies are written by ministries, not the Kancelaria. The source-note clause fits art. 15 ust. 1 pkt 1; the datasheet carries the requested wording as a precaution.",
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"source": "artifacts/rights_audit_2026-10/reports/citations/sejm_sis.md (W1-W4, D1, D4, D7, C1-C5, L7-L15)"
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],
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"not_checked": [
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"lawyer review of the statutory basis and of the SIS terms",
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"the live SIS page on the fetch date (bot challenge then; a later live read, 2026-10-19, is in sis_terms.live_capture; latest archived capture 2026-06-03)",
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"the Kancelaria Sejmu BIP 'Ponowne wykorzystywanie' page (bip.sejm.gov.pl did not connect; Wayback answered 429)",
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"whether the API interpellation bodies are the same documents as those on www.sejm.gov.pl",
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"the exact fetch date: 2026-09-05 is inferred from the findings log, the input file date and the last record (2026-09-03)",
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data/sejm_interpellations/sejm_interpellations.md
CHANGED
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@@ -16,26 +16,42 @@ ministerstw dostępnymi jako HTML.
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## Licensing — traceable basis
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-
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Caveats (quotes, URLs and hashes in `sejm_interpellations.license-evidence.json`;
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not lawyer-reviewed):
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-
- **SIS terms.** The Regulamin Sejmu places interpellations, replies and written
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questions in the System Informacyjny Sejmu (arts. 192 ust. 7, 193 ust. 2,
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195 ust. 2). The
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www.sejm.gov.pl
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-
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- **Replies** are written by ministries and other bodies (named in `author`),
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not by the Kancelaria Sejmu.
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- **Third-party quotations.** In the rights audit's 3,900-document sample, 2.2%
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## Provenance and reproducibility
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```bash
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python3 src/fetch_sejm_interpellations.py --out ~/speakleash --terms
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python3 src/build_dynaword.py --sources sejm_interpellations --speakleash-dir ~/speakleash --out .
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```
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`src/fetch_sejm_interpellations.py` pulls HTML `/body` endpoints, strips
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header chrome (nr / recipient / title / signatory / date) into `meta`, then
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runs pattern PII redaction (the `scrub_pii` pass from #20 at build time —
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@@ -130,6 +160,24 @@ w sprawie Instytutu Polskiego w Szwajcarii, uprzejmie informuję, co
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następuje. […]
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```
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## Privacy and limitations
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Regex PII scrub at fetch time is not a guarantee of zero personal data.
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## Licensing — traceable basis
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**Legal status (our assessment).** We consider the interpellations, written
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questions and replies in this shard official documents, excluded from copyright under
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Art. 4 pkt 2 of the Polish Copyright Act (official documents, materials, signs and
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symbols; text: https://eli.gov.pl/api/acts/DU/2025/24/text/O/D20250024.pdf).
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That is a statement of Polish law only; their status may differ in other jurisdictions.
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The label `public-domain (official documents)` is a descriptive term for this status, not
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a licence: no Creative Commons public-domain mark (CC0, Public Domain Mark) is applied or
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implied, and no upstream Creative Commons license is asserted. api.sejm.gov.pl states no
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licence or terms of use, and we found no disclaimer on it. The statement does not extend
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to third-party fragments quoted inside the documents (for example constituents' letters
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and press articles), and personal data is a separate matter (see "Privacy and
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limitations"). The Open Data Act (Dz. U. 2023 poz. 1524, articles 2(12), 5, 6, 14, 15 and
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17; text: https://eli.gov.pl/api/acts/DU/2023/1524/text.html) is cited as the reuse framework for the institutions' own
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material, not as a basis for third-party works.
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Caveats (quotes, URLs and hashes in `sejm_interpellations.license-evidence.json`;
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not lawyer-reviewed):
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- **SIS terms and credit.** The Regulamin Sejmu places interpellations, replies and written
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questions in the System Informacyjny Sejmu (SIS; arts. 192 ust. 7, 193 ust. 2,
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195 ust. 2). The terms page of SIS, read on 2026-10-19, asks that material taken from
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www.sejm.gov.pl name its source: "Źródłem tym jest System Informacyjny Sejmu". No terms
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were found on api.sejm.gov.pl, in its documentation or in a sampled body, and no source
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says that API output is part of SIS. As a precaution we give the credit:
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> Źródło: System Informacyjny Sejmu (Kancelaria Sejmu RP)
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The same page says that SIS material, in particular live streams and archive material
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produced by iTV Sejm, "nie mogą być elementem komercyjnej oferty żadnej agencji, stacji
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telewizyjnej, portalu ani innego podmiotu". We report that clause as information only.
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It is not a licence term of this dataset, and we have not verified whether it reaches
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these texts or binds a re-user. Our reading is that it is not among the conditions Open
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Data Act art. 15 ust. 1 allows (see also arts. 14 ust. 1, 16 and 17), so whether it binds
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is doubtful. A dated copy of the page (SHA-256 `cb4d21a44f5b09d50cdf95518aad77632b2750b5df6535c1d8aa894152b80469`) is kept in
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polish-dynaword-v2 (`evidence/sis_copyright_2026-10-19.*`, pull request 121); the root
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`NOTICE.md` has the details.
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- **Replies** are written by ministries and other bodies (named in `author`),
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not by the Kancelaria Sejmu.
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- **Third-party quotations.** In the rights audit's 3,900-document sample, 2.2%
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## Provenance and reproducibility
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- Route: the API directly, no intermediary. `src/fetch_sejm_interpellations.py` reads the
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HTML `/body` endpoints of api.sejm.gov.pl (Kancelaria Sejmu RP); this repository names no
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copy of the data held by a third party.
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- Acquired: the fetch date is not recorded. The raw output file
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`~/speakleash/sejm_interpellations.jsonl.zst` (26,503 lines, SHA-256
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`cc06156352220b653cdab20a694560bb1e9e958af576526395ffcf10d7c14a09`) has the file time
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2026-09-05 19:42 CEST, so the fetch ended on or before that day; the latest record is dated
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2026-09-03, so it ended on or after that day. The shard's `added` date, 2026-09-05, is the
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registry's date, not a measured one.
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```bash
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python3 src/fetch_sejm_interpellations.py --out ~/speakleash --terms 10
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python3 src/build_dynaword.py --sources sejm_interpellations --speakleash-dir ~/speakleash --out .
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python3 src/build_sejm_interpellations_attribution.py --raw ~/speakleash/sejm_interpellations.jsonl.zst
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```
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A new fetch returns what the API serves on the day, so it does not reproduce this shard byte
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for byte; the raw file used here is not in the repository.
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`src/fetch_sejm_interpellations.py` pulls HTML `/body` endpoints, strips
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header chrome (nr / recipient / title / signatory / date) into `meta`, then
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runs pattern PII redaction (the `scrub_pii` pass from #20 at build time —
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następuje. […]
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```
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## Attribution sidecar
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`sejm_interpellations.attribution.jsonl` has one line per Parquet row, in row order (25,950
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lines): `id`, `source_url` (the API document the text came from), `term`, `num`, `kind`
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(`interpellation`, `written_question`, `interpellation_reply` or `written_question_reply`),
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`date` (the API's `receiptDate`), `reply_key` (replies only), `text_sha1` (SHA-1 of the
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stored text) and, when other API documents have exactly the same text, `identical_text_urls`
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(their URLs, in raw order). The build kept one document per distinct text: 129 rows have such
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duplicates, 553 dropped documents in all. The title and the author are not repeated: the
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title is header chrome kept out of the text and can name private persons (the NERGAL pass is
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pending), and the author is already a column.
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The shard does not record which document of a duplicate group survived. The builder
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recovers it from the raw file without a new fetch: the order of the shard's rows gives the
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order in which the build's worker chunks arrived, the dedup is replayed in that order and
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must reproduce the shard's sequence of texts exactly, and the author on each survivor must
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equal the shard's author. Any mismatch stops the build; nothing is guessed.
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## Privacy and limitations
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Regex PII scrub at fetch time is not a guarantee of zero personal data.
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src/build_sejm_interpellations_attribution.py
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#!/usr/bin/env python3
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+
"""Rebuild the per-record attribution sidecar of the sejm_interpellations shard (v2#107).
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+
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+
The shard was built by `build_dynaword.py` from the raw fetch output of `fetch_sejm_interpellations.py`
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(`sejm_interpellations.jsonl.zst`, one JSON object per line: `text` plus `meta`). The build dropped the
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`meta` and kept one row per distinct stripped text, so the shard alone does not say which API document
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a row came from. This script recovers that from the raw file without a new fetch.
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Which document survived a duplicate text is decided by the build, not by the text: it cuts the raw
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| 10 |
+
lines into chunks of 2000, processes them in a pool with `imap_unordered` (arrival order is not
|
| 11 |
+
deterministic), and keeps the first row of a text it sees, so the survivor is the row from the chunk that
|
| 12 |
+
arrived first and, inside a chunk, the lowest line. The arrival order is not stored. It is recovered
|
| 13 |
+
from the shard itself: the kept rows of a chunk are contiguous in the Parquet, in line order, so the
|
| 14 |
+
order in which the chunks first appear among the rows whose text occurs once in the raw file is the
|
| 15 |
+
arrival order. The dedup is then replayed over the raw chunks in that order, and the replay must give
|
| 16 |
+
exactly the shard's sequence of texts; any difference raises. A chunk that cannot be placed (all its
|
| 17 |
+
rows share a text with another chunk) raises as well. Nothing is guessed.
|
| 18 |
+
|
| 19 |
+
Sidecar line (sorted keys, one per Parquet row, same order): `id`, `source_url` (the API document the
|
| 20 |
+
row came from), `term`, `num`, `kind`, `date` (the document's date), `reply_key` (replies only),
|
| 21 |
+
`text_sha1` (SHA-1 of the stored text), `identical_text_urls` (other API documents with the same text, in
|
| 22 |
+
raw order; only when there are any). The title and the author are not written: the title is
|
| 23 |
+
header chrome kept out of the text and can name private persons (the NERGAL pass is pending), and the
|
| 24 |
+
author is already a Parquet column. The author is used as a cross-check, and a mismatch raises.
|
| 25 |
+
|
| 26 |
+
Usage:
|
| 27 |
+
python3 src/build_sejm_interpellations_attribution.py \\
|
| 28 |
+
--raw ~/speakleash/sejm_interpellations.jsonl.zst
|
| 29 |
+
"""
|
| 30 |
+
from __future__ import annotations
|
| 31 |
+
|
| 32 |
+
import argparse
|
| 33 |
+
import hashlib
|
| 34 |
+
import io
|
| 35 |
+
import json
|
| 36 |
+
import shutil
|
| 37 |
+
import subprocess
|
| 38 |
+
import sys
|
| 39 |
+
from collections import defaultdict
|
| 40 |
+
from pathlib import Path
|
| 41 |
+
|
| 42 |
+
ROOT = Path(__file__).resolve().parents[1]
|
| 43 |
+
SOURCE = "sejm_interpellations"
|
| 44 |
+
PARQUET = ROOT / "data" / SOURCE / f"{SOURCE}.parquet"
|
| 45 |
+
SIDECAR = ROOT / "data" / SOURCE / f"{SOURCE}.attribution.jsonl"
|
| 46 |
+
# build_dynaword.py: `_chunks(line_iter, 2000)`; test_sejm_interpellations_attribution.py keeps this in sync.
|
| 47 |
+
CHUNK_LINES = 2000
|
| 48 |
+
|
| 49 |
+
|
| 50 |
+
def sha1_hex(text: str) -> str:
|
| 51 |
+
return hashlib.sha1(text.encode("utf-8")).hexdigest()
|
| 52 |
+
|
| 53 |
+
|
| 54 |
+
def read_raw_lines(path: Path):
|
| 55 |
+
"""Non-blank lines of the .jsonl.zst, as `build_dynaword.build_source` reads them (`zstd -dc` or zstandard)."""
|
| 56 |
+
executable = shutil.which("zstd")
|
| 57 |
+
if executable:
|
| 58 |
+
proc = subprocess.Popen([executable, "-dc", str(path)], stdout=subprocess.PIPE, bufsize=1 << 22)
|
| 59 |
+
try:
|
| 60 |
+
for raw in proc.stdout:
|
| 61 |
+
line = raw.decode("utf-8")
|
| 62 |
+
if line.strip():
|
| 63 |
+
yield line
|
| 64 |
+
finally:
|
| 65 |
+
proc.stdout.close()
|
| 66 |
+
if proc.wait() != 0:
|
| 67 |
+
raise RuntimeError(f"zstd -dc failed on {path}")
|
| 68 |
+
return
|
| 69 |
+
try:
|
| 70 |
+
import zstandard
|
| 71 |
+
except ImportError as exc:
|
| 72 |
+
raise RuntimeError("reading .zst requires zstd or Python zstandard: pip install zstandard") from exc
|
| 73 |
+
with path.open("rb") as handle:
|
| 74 |
+
for line in io.TextIOWrapper(zstandard.ZstdDecompressor().stream_reader(handle), encoding="utf-8"):
|
| 75 |
+
if line.strip():
|
| 76 |
+
yield line
|
| 77 |
+
|
| 78 |
+
|
| 79 |
+
def parse_raw(lines) -> list[dict | None]:
|
| 80 |
+
"""One entry per non-blank line, in order (the chunk index is the line index // CHUNK_LINES).
|
| 81 |
+
|
| 82 |
+
A line that is not JSON, or has no `text`/`meta`, is None: the build skips such a line but still
|
| 83 |
+
counts it in its chunk, so the position is kept.
|
| 84 |
+
"""
|
| 85 |
+
rows: list[dict | None] = []
|
| 86 |
+
for line in lines:
|
| 87 |
+
try:
|
| 88 |
+
row = json.loads(line)
|
| 89 |
+
text = (row.get("text") or "").strip()
|
| 90 |
+
meta = row["meta"]
|
| 91 |
+
except Exception:
|
| 92 |
+
rows.append(None)
|
| 93 |
+
continue
|
| 94 |
+
rows.append({"key": sha1_hex(text), "meta": meta})
|
| 95 |
+
return rows
|
| 96 |
+
|
| 97 |
+
|
| 98 |
+
def resolve(raw: list[dict | None], shard: list[dict], chunk_lines: int = CHUNK_LINES) -> list[dict]:
|
| 99 |
+
"""For every shard row (`id`, `text`, `author`, in order) return its survivor and its duplicates.
|
| 100 |
+
|
| 101 |
+
Returns dicts `{"id", "key", "survivor": raw index, "others": [raw indices]}`. Raises ValueError on
|
| 102 |
+
any inconsistency between the raw file and the shard.
|
| 103 |
+
"""
|
| 104 |
+
by_key: dict[str, list[int]] = defaultdict(list)
|
| 105 |
+
for index, row in enumerate(raw):
|
| 106 |
+
if row is not None:
|
| 107 |
+
by_key[row["key"]].append(index)
|
| 108 |
+
|
| 109 |
+
keys = []
|
| 110 |
+
for row in shard:
|
| 111 |
+
if row["text"] != row["text"].strip():
|
| 112 |
+
raise ValueError(f"{row['id']}: stored text is not stripped, so it is not what the build kept")
|
| 113 |
+
keys.append(sha1_hex(row["text"]))
|
| 114 |
+
if len(set(keys)) != len(keys):
|
| 115 |
+
raise ValueError("the shard repeats a text, so it is not the output of the exact dedup")
|
| 116 |
+
absent = [row["id"] for row, key in zip(shard, keys) if key not in by_key]
|
| 117 |
+
if absent:
|
| 118 |
+
raise ValueError(f"{len(absent)} shard rows have no raw line with their text (first: {absent[0]}); "
|
| 119 |
+
"this is not the raw file the shard was built from")
|
| 120 |
+
|
| 121 |
+
# Arrival order of the chunks: first appearance among the rows whose text occurs on one raw line.
|
| 122 |
+
order = list(dict.fromkeys(by_key[key][0] // chunk_lines for key in keys if len(by_key[key]) == 1))
|
| 123 |
+
placed = set(order)
|
| 124 |
+
for key in keys:
|
| 125 |
+
for index in by_key[key]:
|
| 126 |
+
if index // chunk_lines not in placed:
|
| 127 |
+
raise ValueError(f"chunk {index // chunk_lines} holds a kept text but no text that occurs only "
|
| 128 |
+
"once, so its arrival order cannot be recovered")
|
| 129 |
+
|
| 130 |
+
# Replay the build's dedup over the raw chunks in that order. A raw line whose text is not in the shard
|
| 131 |
+
# was dropped by a gate (length, language) before the dedup and never entered `seen`.
|
| 132 |
+
kept = set(keys)
|
| 133 |
+
seen: set[str] = set()
|
| 134 |
+
survivors: list[int] = []
|
| 135 |
+
for chunk in order:
|
| 136 |
+
for index in range(chunk * chunk_lines, min((chunk + 1) * chunk_lines, len(raw))):
|
| 137 |
+
row = raw[index]
|
| 138 |
+
if row is None or row["key"] not in kept or row["key"] in seen:
|
| 139 |
+
continue
|
| 140 |
+
seen.add(row["key"])
|
| 141 |
+
survivors.append(index)
|
| 142 |
+
replay = [raw[index]["key"] for index in survivors]
|
| 143 |
+
if replay != keys:
|
| 144 |
+
position = next((i for i, (a, b) in enumerate(zip(replay, keys)) if a != b), min(len(replay), len(keys)))
|
| 145 |
+
raise ValueError(f"the replayed dedup differs from the shard at row {position} "
|
| 146 |
+
f"(replay has {len(replay)} rows, shard {len(keys)})")
|
| 147 |
+
|
| 148 |
+
return [{"id": row["id"], "key": key, "survivor": survivor,
|
| 149 |
+
"others": [i for i in by_key[key] if i != survivor]}
|
| 150 |
+
for row, key, survivor in zip(shard, keys, survivors)]
|
| 151 |
+
|
| 152 |
+
|
| 153 |
+
def sidecar_lines(raw: list[dict | None], shard: list[dict], chunk_lines: int = CHUNK_LINES) -> list[str]:
|
| 154 |
+
resolved = resolve(raw, shard, chunk_lines)
|
| 155 |
+
lines = []
|
| 156 |
+
for row, hit in zip(shard, resolved):
|
| 157 |
+
meta = raw[hit["survivor"]]["meta"]
|
| 158 |
+
if (meta.get("author") or "").strip() != (row["author"] or "").strip():
|
| 159 |
+
raise ValueError(f"{row['id']}: author {row['author']!r} in the shard, {meta.get('author')!r} on the "
|
| 160 |
+
f"survivor {meta.get('url')}")
|
| 161 |
+
record = {"id": row["id"], "source_url": meta["url"], "term": meta["term"], "num": meta["num"],
|
| 162 |
+
"kind": meta["kind"], "date": meta["date"], "text_sha1": hit["key"]}
|
| 163 |
+
if meta.get("reply_key"):
|
| 164 |
+
record["reply_key"] = meta["reply_key"]
|
| 165 |
+
others = [raw[i]["meta"]["url"] for i in hit["others"]]
|
| 166 |
+
if others:
|
| 167 |
+
record["identical_text_urls"] = others
|
| 168 |
+
lines.append(json.dumps(record, ensure_ascii=False, sort_keys=True))
|
| 169 |
+
return lines
|
| 170 |
+
|
| 171 |
+
|
| 172 |
+
def read_shard(path: Path) -> list[dict]:
|
| 173 |
+
import pyarrow.parquet as pq
|
| 174 |
+
table = pq.read_table(path, columns=["id", "text", "author"])
|
| 175 |
+
return [{"id": i, "text": t, "author": a} for i, t, a in
|
| 176 |
+
zip(table["id"].to_pylist(), table["text"].to_pylist(), table["author"].to_pylist())]
|
| 177 |
+
|
| 178 |
+
|
| 179 |
+
def main(argv=None) -> int:
|
| 180 |
+
ap = argparse.ArgumentParser(description=__doc__.split("\n\n")[0])
|
| 181 |
+
ap.add_argument("--raw", required=True, type=Path, help="sejm_interpellations.jsonl.zst from fetch_sejm_interpellations.py")
|
| 182 |
+
ap.add_argument("--parquet", type=Path, default=PARQUET)
|
| 183 |
+
ap.add_argument("--out", type=Path, default=SIDECAR)
|
| 184 |
+
args = ap.parse_args(argv)
|
| 185 |
+
raw = parse_raw(read_raw_lines(args.raw.expanduser()))
|
| 186 |
+
shard = read_shard(args.parquet)
|
| 187 |
+
lines = sidecar_lines(raw, shard)
|
| 188 |
+
args.out.write_text("".join(line + "\n" for line in lines), encoding="utf-8")
|
| 189 |
+
duplicates = sum(1 for line in lines if '"identical_text_urls"' in line)
|
| 190 |
+
print(f"{args.out}: {len(lines):,} rows from {len(raw):,} raw lines; {duplicates:,} rows have identical-text duplicates")
|
| 191 |
+
return 0
|
| 192 |
+
|
| 193 |
+
|
| 194 |
+
if __name__ == "__main__":
|
| 195 |
+
sys.exit(main())
|
src/test_sejm_interpellations_attribution.py
ADDED
|
@@ -0,0 +1,266 @@
|
|
|
|
|
|
|
|
|
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|
|
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|
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|
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|
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|
|
|
|
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|
|
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|
|
|
|
|
|
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|
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|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
"""Tests for the sejm_interpellations attribution sidecar builder (v2#107)."""
|
| 2 |
+
import io
|
| 3 |
+
import json
|
| 4 |
+
import random
|
| 5 |
+
import re
|
| 6 |
+
import shutil
|
| 7 |
+
import sys
|
| 8 |
+
import tempfile
|
| 9 |
+
import unittest
|
| 10 |
+
from pathlib import Path
|
| 11 |
+
|
| 12 |
+
sys.path.insert(0, str(Path(__file__).resolve().parent))
|
| 13 |
+
|
| 14 |
+
import build_sejm_interpellations_attribution as B
|
| 15 |
+
|
| 16 |
+
ROOT = Path(__file__).resolve().parent.parent
|
| 17 |
+
DATA = ROOT / "data" / "sejm_interpellations"
|
| 18 |
+
PARQUET = DATA / "sejm_interpellations.parquet"
|
| 19 |
+
SIDECAR = DATA / "sejm_interpellations.attribution.jsonl"
|
| 20 |
+
STATS = DATA / "sejm_interpellations.stats.json"
|
| 21 |
+
SOURCE_CODE = Path(__file__).resolve().parent / "build_dynaword.py"
|
| 22 |
+
|
| 23 |
+
|
| 24 |
+
def meta(num, author="A", kind="interpellation", reply_key=None, date="2024-01-01"):
|
| 25 |
+
suffix = f"/reply/{reply_key}/body" if reply_key else "/body"
|
| 26 |
+
m = {"url": f"https://api.sejm.gov.pl/sejm/term10/interpellations/{num}{suffix}", "term": 10, "num": num,
|
| 27 |
+
"kind": kind, "title": f"title {num}", "date": date, "author": author}
|
| 28 |
+
if reply_key:
|
| 29 |
+
m["reply_key"] = reply_key
|
| 30 |
+
return m
|
| 31 |
+
|
| 32 |
+
|
| 33 |
+
def raw_rows(spec):
|
| 34 |
+
"""spec: list of (text, num) or (text, num, extra-meta dict); None for an unparseable line."""
|
| 35 |
+
rows = []
|
| 36 |
+
for item in spec:
|
| 37 |
+
if item is None:
|
| 38 |
+
rows.append(None)
|
| 39 |
+
continue
|
| 40 |
+
text, num, *extra = item
|
| 41 |
+
rows.append({"key": B.sha1_hex(text.strip()), "meta": meta(num, **(extra[0] if extra else {}))})
|
| 42 |
+
return rows
|
| 43 |
+
|
| 44 |
+
|
| 45 |
+
def simulate_build(texts, authors, order, chunk_lines):
|
| 46 |
+
"""The shard `build_source` writes when its chunks arrive in `order`: global `seen`, a chunk's rows in line order."""
|
| 47 |
+
seen, shard = set(), []
|
| 48 |
+
for chunk in order:
|
| 49 |
+
for i in range(chunk * chunk_lines, min((chunk + 1) * chunk_lines, len(texts))):
|
| 50 |
+
text = texts[i]
|
| 51 |
+
if text is None or B.sha1_hex(text) in seen:
|
| 52 |
+
continue
|
| 53 |
+
seen.add(B.sha1_hex(text))
|
| 54 |
+
shard.append({"id": f"s_{len(shard)}", "text": text, "author": authors[i], "line": i})
|
| 55 |
+
return shard
|
| 56 |
+
|
| 57 |
+
|
| 58 |
+
class ResolveTest(unittest.TestCase):
|
| 59 |
+
def test_no_duplicates_every_row_is_its_own_survivor(self):
|
| 60 |
+
raw = raw_rows([("a", 1), ("b", 2), ("c", 3), ("d", 4)])
|
| 61 |
+
shard = [{"id": f"s{i}", "text": t, "author": "A"} for i, t in enumerate("abcd")]
|
| 62 |
+
out = B.resolve(raw, shard, chunk_lines=2)
|
| 63 |
+
self.assertEqual([h["survivor"] for h in out], [0, 1, 2, 3])
|
| 64 |
+
self.assertTrue(all(h["others"] == [] for h in out))
|
| 65 |
+
|
| 66 |
+
def test_arrival_order_decides_which_duplicate_survives(self):
|
| 67 |
+
# chunk 0 = [x, u1], chunk 1 = [x, u2]; x is on lines 0 and 2
|
| 68 |
+
raw = raw_rows([("x", 1), ("u1", 2), ("x", 3), ("u2", 4)])
|
| 69 |
+
first = [{"id": "s0", "text": "x", "author": "A"}, {"id": "s1", "text": "u1", "author": "A"},
|
| 70 |
+
{"id": "s2", "text": "u2", "author": "A"}]
|
| 71 |
+
self.assertEqual([h["survivor"] for h in B.resolve(raw, first, chunk_lines=2)], [0, 1, 3])
|
| 72 |
+
second = [{"id": "s0", "text": "x", "author": "A"}, {"id": "s1", "text": "u2", "author": "A"},
|
| 73 |
+
{"id": "s2", "text": "u1", "author": "A"}]
|
| 74 |
+
# chunk 1 arrived first: its x (line 2) survives, and its rows come before chunk 0's
|
| 75 |
+
out = B.resolve(raw, second, chunk_lines=2)
|
| 76 |
+
self.assertEqual([h["survivor"] for h in out], [2, 3, 1])
|
| 77 |
+
self.assertEqual(out[0]["others"], [0])
|
| 78 |
+
|
| 79 |
+
def test_duplicate_inside_one_chunk_keeps_the_lowest_line(self):
|
| 80 |
+
raw = raw_rows([("x", 1), ("x", 2), ("y", 3), ("z", 4)])
|
| 81 |
+
shard = [{"id": "s0", "text": "x", "author": "A"}, {"id": "s1", "text": "y", "author": "A"},
|
| 82 |
+
{"id": "s2", "text": "z", "author": "A"}]
|
| 83 |
+
out = B.resolve(raw, shard, chunk_lines=4)
|
| 84 |
+
self.assertEqual([h["survivor"] for h in out], [0, 2, 3])
|
| 85 |
+
self.assertEqual(out[0]["others"], [1])
|
| 86 |
+
|
| 87 |
+
def test_texts_are_compared_stripped(self):
|
| 88 |
+
raw = raw_rows([(" x\n", 1), ("x", 2), ("y", 3), ("z", 4)])
|
| 89 |
+
shard = [{"id": "s0", "text": "x", "author": "A"}, {"id": "s1", "text": "y", "author": "A"},
|
| 90 |
+
{"id": "s2", "text": "z", "author": "A"}]
|
| 91 |
+
out = B.resolve(raw, shard, chunk_lines=4)
|
| 92 |
+
self.assertEqual((out[0]["survivor"], out[0]["others"]), (0, [1]))
|
| 93 |
+
|
| 94 |
+
def test_gated_raw_line_is_ignored(self):
|
| 95 |
+
# "tiny" never reached the dedup (a gate dropped it): it is not in the shard and changes nothing
|
| 96 |
+
raw = raw_rows([("x", 1), ("tiny", 2), ("y", 3), ("x", 4), ("z", 5), ("w", 6)])
|
| 97 |
+
shard = [{"id": f"s{i}", "text": t, "author": "A"} for i, t in enumerate("xyzw")]
|
| 98 |
+
out = B.resolve(raw, shard, chunk_lines=3)
|
| 99 |
+
self.assertEqual([h["survivor"] for h in out], [0, 2, 4, 5])
|
| 100 |
+
self.assertEqual(out[0]["others"], [3])
|
| 101 |
+
|
| 102 |
+
def test_unparseable_line_keeps_its_position_in_the_chunk(self):
|
| 103 |
+
raw = raw_rows([("x", 1), None, ("y", 3), ("z", 4)])
|
| 104 |
+
shard = [{"id": "s0", "text": "x", "author": "A"}, {"id": "s1", "text": "y", "author": "A"},
|
| 105 |
+
{"id": "s2", "text": "z", "author": "A"}]
|
| 106 |
+
# chunks of 2: [x, None] [y, z]; arrival order is read off x then y
|
| 107 |
+
self.assertEqual([h["survivor"] for h in B.resolve(raw, shard, chunk_lines=2)], [0, 2, 3])
|
| 108 |
+
|
| 109 |
+
def test_chunk_that_cannot_be_placed_raises(self):
|
| 110 |
+
# chunk 1 = [x, y] repeats the texts of chunk 0 = [x, y]: no text occurs once there, so its place is unknown
|
| 111 |
+
raw = raw_rows([("x", 1), ("y", 2), ("x", 3), ("y", 4), ("z", 5), ("w", 6)])
|
| 112 |
+
shard = [{"id": "s0", "text": "x", "author": "A"}, {"id": "s1", "text": "y", "author": "A"},
|
| 113 |
+
{"id": "s2", "text": "z", "author": "A"}, {"id": "s3", "text": "w", "author": "A"}]
|
| 114 |
+
with self.assertRaisesRegex(ValueError, "arrival order cannot be recovered"):
|
| 115 |
+
B.resolve(raw, shard, chunk_lines=2)
|
| 116 |
+
|
| 117 |
+
def test_shard_that_the_replay_cannot_reproduce_raises(self):
|
| 118 |
+
raw = raw_rows([("x", 1), ("y", 2), ("z", 3), ("w", 4)])
|
| 119 |
+
swapped = [{"id": "s0", "text": "y", "author": "A"}, {"id": "s1", "text": "x", "author": "A"},
|
| 120 |
+
{"id": "s2", "text": "z", "author": "A"}, {"id": "s3", "text": "w", "author": "A"}]
|
| 121 |
+
with self.assertRaisesRegex(ValueError, "replayed dedup differs from the shard at row 0"):
|
| 122 |
+
B.resolve(raw, swapped, chunk_lines=2)
|
| 123 |
+
|
| 124 |
+
def test_text_not_in_the_raw_file_raises(self):
|
| 125 |
+
raw = raw_rows([("x", 1), ("y", 2)])
|
| 126 |
+
shard = [{"id": "s0", "text": "x", "author": "A"}, {"id": "s1", "text": "other", "author": "A"}]
|
| 127 |
+
with self.assertRaisesRegex(ValueError, "not the raw file"):
|
| 128 |
+
B.resolve(raw, shard, chunk_lines=2)
|
| 129 |
+
|
| 130 |
+
def test_unstripped_or_repeated_shard_text_raises(self):
|
| 131 |
+
raw = raw_rows([("x", 1), ("y", 2)])
|
| 132 |
+
with self.assertRaisesRegex(ValueError, "not stripped"):
|
| 133 |
+
B.resolve(raw, [{"id": "s0", "text": "x ", "author": "A"}], chunk_lines=2)
|
| 134 |
+
with self.assertRaisesRegex(ValueError, "repeats a text"):
|
| 135 |
+
B.resolve(raw, [{"id": "s0", "text": "x", "author": "A"}, {"id": "s1", "text": "x", "author": "A"}],
|
| 136 |
+
chunk_lines=2)
|
| 137 |
+
|
| 138 |
+
def test_random_builds_are_recovered_for_every_arrival_order(self):
|
| 139 |
+
rng = random.Random(20261019)
|
| 140 |
+
for trial in range(200):
|
| 141 |
+
chunk_lines = rng.choice([2, 3, 5])
|
| 142 |
+
n = rng.randint(6, 30)
|
| 143 |
+
pool = [f"text {k}" for k in range(rng.randint(3, n))]
|
| 144 |
+
texts = [rng.choice(pool) for _ in range(n)]
|
| 145 |
+
authors = [f"author {i}" for i in range(n)]
|
| 146 |
+
n_chunks = -(-n // chunk_lines)
|
| 147 |
+
order = list(range(n_chunks))
|
| 148 |
+
rng.shuffle(order)
|
| 149 |
+
shard = simulate_build(texts, authors, order, chunk_lines)
|
| 150 |
+
raw = raw_rows([(t, i, {"author": authors[i]}) for i, t in enumerate(texts)])
|
| 151 |
+
try:
|
| 152 |
+
out = B.resolve(raw, [{k: v for k, v in r.items() if k != "line"} for r in shard], chunk_lines)
|
| 153 |
+
except ValueError as exc:
|
| 154 |
+
# the only allowed failure: a chunk whose texts all occur in other chunks too
|
| 155 |
+
self.assertIn("arrival order cannot be recovered", str(exc), (trial, texts, order))
|
| 156 |
+
continue
|
| 157 |
+
self.assertEqual([h["survivor"] for h in out], [r["line"] for r in shard], (trial, texts, order))
|
| 158 |
+
|
| 159 |
+
|
| 160 |
+
class SidecarLinesTest(unittest.TestCase):
|
| 161 |
+
def setUp(self):
|
| 162 |
+
self.raw = raw_rows([
|
| 163 |
+
("question text", 1, {"author": "Poseł", "kind": "interpellation", "date": "2024-01-02"}),
|
| 164 |
+
("reply text", 2, {"author": "Minister", "kind": "interpellation_reply", "reply_key": "R1",
|
| 165 |
+
"date": "2024-02-03"}),
|
| 166 |
+
("question text", 9, {"author": "Poseł 2", "kind": "interpellation"}),
|
| 167 |
+
])
|
| 168 |
+
self.shard = [{"id": "s0", "text": "question text", "author": "Poseł"},
|
| 169 |
+
{"id": "s1", "text": "reply text", "author": "Minister"}]
|
| 170 |
+
|
| 171 |
+
def test_fields_and_order(self):
|
| 172 |
+
lines = B.sidecar_lines(self.raw, self.shard, chunk_lines=3)
|
| 173 |
+
first, second = [json.loads(line) for line in lines]
|
| 174 |
+
self.assertEqual(first, {
|
| 175 |
+
"id": "s0", "source_url": "https://api.sejm.gov.pl/sejm/term10/interpellations/1/body", "term": 10,
|
| 176 |
+
"num": 1, "kind": "interpellation", "date": "2024-01-02", "text_sha1": B.sha1_hex("question text"),
|
| 177 |
+
"identical_text_urls": ["https://api.sejm.gov.pl/sejm/term10/interpellations/9/body"]})
|
| 178 |
+
self.assertEqual(second["reply_key"], "R1")
|
| 179 |
+
self.assertNotIn("identical_text_urls", second)
|
| 180 |
+
self.assertEqual(list(first), sorted(first)) # keys sorted
|
| 181 |
+
for record in (first, second):
|
| 182 |
+
self.assertNotIn("title", record)
|
| 183 |
+
self.assertNotIn("author", record)
|
| 184 |
+
|
| 185 |
+
def test_author_mismatch_raises(self):
|
| 186 |
+
self.shard[0]["author"] = "Someone else"
|
| 187 |
+
with self.assertRaisesRegex(ValueError, "s0: author"):
|
| 188 |
+
B.sidecar_lines(self.raw, self.shard, chunk_lines=3)
|
| 189 |
+
|
| 190 |
+
def test_author_comparison_ignores_surrounding_whitespace(self):
|
| 191 |
+
self.shard[0]["author"] = " Poseł "
|
| 192 |
+
self.assertEqual(len(B.sidecar_lines(self.raw, self.shard, chunk_lines=3)), 2)
|
| 193 |
+
|
| 194 |
+
|
| 195 |
+
class ParseRawTest(unittest.TestCase):
|
| 196 |
+
def test_bad_lines_become_none_and_keep_their_position(self):
|
| 197 |
+
rows = B.parse_raw(['{"text": " a ", "meta": {"url": "u"}}\n', "not json\n", '{"text": "b"}\n',
|
| 198 |
+
'{"text": null, "meta": {}}\n'])
|
| 199 |
+
self.assertEqual(rows[0], {"key": B.sha1_hex("a"), "meta": {"url": "u"}})
|
| 200 |
+
self.assertIsNone(rows[1])
|
| 201 |
+
self.assertIsNone(rows[2]) # no meta
|
| 202 |
+
self.assertEqual(rows[3], {"key": B.sha1_hex(""), "meta": {}})
|
| 203 |
+
|
| 204 |
+
def test_read_raw_lines_skips_blank_lines(self):
|
| 205 |
+
payload = b'{"text": "a", "meta": {}}\n\n \n{"text": "b", "meta": {}}\n'
|
| 206 |
+
with tempfile.TemporaryDirectory() as tmp:
|
| 207 |
+
path = Path(tmp) / "x.jsonl.zst"
|
| 208 |
+
try:
|
| 209 |
+
import zstandard
|
| 210 |
+
path.write_bytes(zstandard.ZstdCompressor().compress(payload))
|
| 211 |
+
except ImportError:
|
| 212 |
+
if not shutil.which("zstd"):
|
| 213 |
+
self.skipTest("no zstandard and no zstd binary")
|
| 214 |
+
import subprocess
|
| 215 |
+
path.write_bytes(subprocess.run(["zstd", "-c"], input=payload, capture_output=True, check=True).stdout)
|
| 216 |
+
self.assertEqual(len(list(B.read_raw_lines(path))), 2)
|
| 217 |
+
|
| 218 |
+
|
| 219 |
+
class ChunkSizeTest(unittest.TestCase):
|
| 220 |
+
def test_chunk_size_matches_build_dynaword(self):
|
| 221 |
+
self.assertIn(f"_chunks(line_iter, {B.CHUNK_LINES})", SOURCE_CODE.read_text(encoding="utf-8"))
|
| 222 |
+
|
| 223 |
+
|
| 224 |
+
@unittest.skipUnless(SIDECAR.is_file() and PARQUET.is_file(), "sidecar not built")
|
| 225 |
+
class ShippedSidecarTest(unittest.TestCase):
|
| 226 |
+
@classmethod
|
| 227 |
+
def setUpClass(cls):
|
| 228 |
+
import pyarrow.parquet as pq
|
| 229 |
+
cls.table = pq.read_table(PARQUET, columns=["id", "text"])
|
| 230 |
+
cls.lines = [json.loads(line) for line in SIDECAR.read_text(encoding="utf-8").splitlines()]
|
| 231 |
+
cls.stats = json.loads(STATS.read_text(encoding="utf-8"))
|
| 232 |
+
|
| 233 |
+
def test_one_line_per_row_in_parquet_order(self):
|
| 234 |
+
self.assertEqual([r["id"] for r in self.lines], self.table["id"].to_pylist())
|
| 235 |
+
|
| 236 |
+
def test_text_sha1_matches_the_stored_text(self):
|
| 237 |
+
for record, text in zip(self.lines, self.table["text"].to_pylist()):
|
| 238 |
+
self.assertEqual(record["text_sha1"], B.sha1_hex(text), record["id"])
|
| 239 |
+
|
| 240 |
+
def test_every_raw_document_is_accounted_for_once(self):
|
| 241 |
+
urls = [r["source_url"] for r in self.lines] + [u for r in self.lines for u in r.get("identical_text_urls", [])]
|
| 242 |
+
self.assertEqual(len(urls), len(set(urls)))
|
| 243 |
+
self.assertEqual(len(urls), self.stats["read"] - self.stats["drop_short"] - self.stats["drop_lang"]
|
| 244 |
+
- self.stats["drop_ocr"])
|
| 245 |
+
self.assertEqual(sum(len(r.get("identical_text_urls", [])) for r in self.lines), self.stats["drop_dup"])
|
| 246 |
+
|
| 247 |
+
def test_urls_agree_with_their_fields(self):
|
| 248 |
+
pattern = re.compile(r"^https://api\.sejm\.gov\.pl/sejm/term(\d+)/(interpellations|writtenQuestions)/(\d+)"
|
| 249 |
+
r"(?:/reply/([A-Z0-9]+))?/body$")
|
| 250 |
+
collection = {"interpellation": "interpellations", "interpellation_reply": "interpellations",
|
| 251 |
+
"written_question": "writtenQuestions", "written_question_reply": "writtenQuestions"}
|
| 252 |
+
for record in self.lines:
|
| 253 |
+
for url in [record["source_url"]] + record.get("identical_text_urls", []):
|
| 254 |
+
self.assertRegex(url, pattern)
|
| 255 |
+
term, coll, num, key = pattern.match(record["source_url"]).groups()
|
| 256 |
+
self.assertEqual((int(term), int(num), key), (record["term"], record["num"], record.get("reply_key")))
|
| 257 |
+
self.assertEqual(coll, collection[record["kind"]], record["id"])
|
| 258 |
+
self.assertEqual(record["kind"].endswith("_reply"), key is not None, record["id"])
|
| 259 |
+
self.assertRegex(record["date"], r"^\d{4}-\d{2}-\d{2}$")
|
| 260 |
+
|
| 261 |
+
def test_no_title_or_author_is_shipped(self):
|
| 262 |
+
self.assertFalse({"title", "author"} & {k for r in self.lines for k in r})
|
| 263 |
+
|
| 264 |
+
|
| 265 |
+
if __name__ == "__main__":
|
| 266 |
+
unittest.main()
|
src/test_sejm_interpellations_contract.py
CHANGED
|
@@ -186,6 +186,25 @@ class SejmInterpellationsRecordsTest(unittest.TestCase):
|
|
| 186 |
self.assertEqual(self.evidence["sis_terms"]["quotes"]["source_note_wording"], sis_note)
|
| 187 |
self.assertIn(EVIDENCE.name, self.card)
|
| 188 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 189 |
|
| 190 |
if __name__ == "__main__":
|
| 191 |
unittest.main()
|
|
|
|
| 186 |
self.assertEqual(self.evidence["sis_terms"]["quotes"]["source_note_wording"], sis_note)
|
| 187 |
self.assertIn(EVIDENCE.name, self.card)
|
| 188 |
|
| 189 |
+
def test_card_credits_sis_and_keeps_the_label_descriptive(self):
|
| 190 |
+
# v2#107: credit line, clause as information only, no licence claim, route and sidecar named
|
| 191 |
+
self.assertIn("Źródło: System Informacyjny Sejmu (Kancelaria Sejmu RP)", self.card)
|
| 192 |
+
self.assertIn("komercyjnej oferty", self.card)
|
| 193 |
+
self.assertIn("information only", self.card)
|
| 194 |
+
self.assertIn("not a licence", self.card)
|
| 195 |
+
self.assertIn("Art. 4 pkt 2 of the Polish Copyright Act", self.card)
|
| 196 |
+
self.assertIn("the API directly, no intermediary", self.card)
|
| 197 |
+
self.assertIn("sejm_interpellations.attribution.jsonl", self.card)
|
| 198 |
+
self.assertNotIn("--workers", self.card)
|
| 199 |
+
|
| 200 |
+
def test_evidence_records_the_live_capture_of_the_sis_page(self):
|
| 201 |
+
live = self.evidence["sis_terms"]["live_capture"]
|
| 202 |
+
self.assertEqual(live["retrieved"], "2026-10-19")
|
| 203 |
+
self.assertRegex(live["sha256_of_content_html"], r"^[0-9a-f]{64}$")
|
| 204 |
+
self.assertIn(live["sha256_of_content_html"], self.card)
|
| 205 |
+
self.assertTrue(live["source_note_present"])
|
| 206 |
+
self.assertTrue(live["commercial_offer_clause_present"])
|
| 207 |
+
|
| 208 |
|
| 209 |
if __name__ == "__main__":
|
| 210 |
unittest.main()
|