FX-6: seed SpecPoint catalogue for all 6 test specs (ASSESSES beyond AQA physics)
Only AQA GCSE Physics 8463 (4.1-4.8) was seeded, so any other board/spec — or any spec_ref that didn't match those 8 — projected zero (:Part)-[:ASSESSES]-> (:SpecPoint) edges, silently. Seed the full top-level topic catalogue for the 6 current test specs (GCSE + A-level Physics/Chemistry/Biology, 44 SpecPoints) and loop the Specification/SpecPoint MERGE over all of them (board created once). Idempotent; deterministic uuid5 keys unchanged. Sub-point granularity remains a later data task. Run: python3 -c "from run.initialization.init_exam_graph import init; import json; print(json.dumps(init()))" in the ccapi container. Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
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@ -1,17 +1,19 @@
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"""
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init_exam_graph.py — Initialise the cc.public.exams Neo4j knowledge graph.
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Creates the shared, public exam database, its uniqueness constraints, and seeds the AQA exam
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board + AQA GCSE Physics (8463) specification with its 8 top-level topic SpecPoints. Idempotent
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(CREATE DATABASE IF NOT EXISTS / CREATE CONSTRAINT IF NOT EXISTS / MERGE).
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Creates the shared, public exam database, its uniqueness constraints, and seeds the AQA exam board
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+ the 6 current test specifications (GCSE & A-level Physics/Chemistry/Biology) with their top-level
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topic SpecPoints (44 in total). Idempotent (CREATE DATABASE IF NOT EXISTS / CREATE CONSTRAINT IF NOT
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EXISTS / MERGE).
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Run inside the ccapi container:
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python3 -c "from run.initialization.init_exam_graph import init; import json; print(json.dumps(init()))"
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NOTE: the 8 SpecPoints seeded here are the real AQA GCSE Physics *top-level* topics. The full
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sub-point breakdown (e.g. 4.1.1.1 ...) is a later data-population task (sourceable from the AQA
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spec PDF via Docling). spec_code AQA-PHYS-8463 is the standalone GCSE Physics code that matches
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"AQA Physics Paper 1H"; the eb_exams/eb_specifications seed (card S4-3) must use the same code.
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NOTE: only *top-level* topics are seeded (the granularity a teacher plans against). The full sub-point
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breakdown (e.g. 4.1.1.1 ...) is a later data-population task (sourceable from the AQA spec PDF via
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Docling). Seeding all 6 specs means a template's spec_ref finds a matching SpecPoint so
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(:Part)-[:ASSESSES]->(:SpecPoint) fires beyond GCSE Physics; spec_code (e.g. AQA-PHYS-8463) must match
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the eb_exams/eb_specifications seed (card S4-3) and the app's deriveSpecCode.
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"""
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import uuid
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from typing import Dict, Any
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@ -41,6 +43,37 @@ SPEC_POINTS = [
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("4.8", "Space physics"),
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]
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# Full AQA catalogue for the current test specs (top-level topics; ref = topic number). Seeding all of
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# them means a template's spec_ref finds a matching SpecPoint so (:Part)-[:ASSESSES]->(:SpecPoint) fires
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# beyond AQA GCSE Physics. Sub-point granularity (e.g. 4.1.1.1) remains a later data-population task.
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SPECIFICATIONS = [
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{**SPEC, "topics": SPEC_POINTS},
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{"spec_code": "AQA-CHEM-8462", "exam_board_code": "AQA", "subject_code": "CHEM", "award_code": "GCSE",
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"title": "AQA GCSE Chemistry (8462)", "topics": [
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("4.1", "Atomic structure and the periodic table"), ("4.2", "Bonding, structure, and the properties of matter"),
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("4.3", "Quantitative chemistry"), ("4.4", "Chemical changes"), ("4.5", "Energy changes"),
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("4.6", "The rate and extent of chemical change"), ("4.7", "Organic chemistry"), ("4.8", "Chemical analysis"),
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("4.9", "Chemistry of the atmosphere"), ("4.10", "Using resources")]},
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{"spec_code": "AQA-BIOL-8461", "exam_board_code": "AQA", "subject_code": "BIOL", "award_code": "GCSE",
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"title": "AQA GCSE Biology (8461)", "topics": [
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("4.1", "Cell biology"), ("4.2", "Organisation"), ("4.3", "Infection and response"), ("4.4", "Bioenergetics"),
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("4.5", "Homeostasis and response"), ("4.6", "Inheritance, variation and evolution"), ("4.7", "Ecology")]},
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{"spec_code": "AQA-PHYS-7408", "exam_board_code": "AQA", "subject_code": "PHYS", "award_code": "A-level",
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"title": "AQA A-level Physics (7408)", "topics": [
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("3.1", "Measurements and their errors"), ("3.2", "Particles and radiation"), ("3.3", "Waves"),
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("3.4", "Mechanics and materials"), ("3.5", "Electricity"), ("3.6", "Further mechanics and thermal physics"),
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("3.7", "Fields and their consequences"), ("3.8", "Nuclear physics")]},
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{"spec_code": "AQA-CHEM-7405", "exam_board_code": "AQA", "subject_code": "CHEM", "award_code": "A-level",
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"title": "AQA A-level Chemistry (7405)", "topics": [
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("3.1", "Physical chemistry"), ("3.2", "Inorganic chemistry"), ("3.3", "Organic chemistry")]},
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{"spec_code": "AQA-BIOL-7402", "exam_board_code": "AQA", "subject_code": "BIOL", "award_code": "A-level",
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"title": "AQA A-level Biology (7402)", "topics": [
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("3.1", "Biological molecules"), ("3.2", "Cells"), ("3.3", "Organisms exchange substances with their environment"),
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("3.4", "Genetic information, variation and relationships between organisms"),
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("3.5", "Energy transfers in and between organisms"), ("3.6", "Organisms respond to changes"),
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("3.7", "Genetics, populations, evolution and ecosystems"), ("3.8", "The control of gene expression")]},
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]
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CONSTRAINTS = [
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"CREATE CONSTRAINT exam_board_uid IF NOT EXISTS FOR (n:ExamBoard) REQUIRE n.uuid_string IS UNIQUE",
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"CREATE CONSTRAINT spec_uid IF NOT EXISTS FOR (n:Specification) REQUIRE n.uuid_string IS UNIQUE",
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@ -81,35 +114,36 @@ def init() -> Dict[str, Any]:
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s.run(c).consume()
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result["constraints"] += 1
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# 3. board + spec
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# 3. board (once)
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board_uid = _uid("ExamBoard", BOARD["code"])
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spec_uid = _uid("Specification", SPEC["spec_code"])
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s.run(
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"MERGE (b:ExamBoard {uuid_string:$uid}) "
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"SET b.code=$code, b.name=$name, b.node_storage_path=$nsp",
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uid=board_uid, code=BOARD["code"], name=BOARD["name"],
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nsp=f"{EXAM_DB}/ExamBoard/{BOARD['code']}",
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).consume()
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# 4. each specification + its top-level spec points (idempotent MERGE)
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for spec in SPECIFICATIONS:
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spec_uid = _uid("Specification", spec["spec_code"])
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s.run(
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"MERGE (sp:Specification {uuid_string:$uid}) "
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"SET sp.spec_code=$sc, sp.exam_board_code=$ebc, sp.subject_code=$subj, "
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" sp.award_code=$award, sp.title=$title, sp.node_storage_path=$nsp "
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"WITH sp MATCH (b:ExamBoard {code:$ebc}) MERGE (b)-[:PUBLISHES]->(sp)",
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uid=spec_uid, sc=SPEC["spec_code"], ebc=SPEC["exam_board_code"],
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subj=SPEC["subject_code"], award=SPEC["award_code"], title=SPEC["title"],
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nsp=f"{EXAM_DB}/Specification/{SPEC['spec_code']}",
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uid=spec_uid, sc=spec["spec_code"], ebc=spec["exam_board_code"],
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subj=spec["subject_code"], award=spec["award_code"], title=spec["title"],
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nsp=f"{EXAM_DB}/Specification/{spec['spec_code']}",
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).consume()
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# 4. spec points
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for ref, desc in SPEC_POINTS:
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sp_uid = _uid("SpecPoint", SPEC["spec_code"], ref)
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for ref, desc in spec["topics"]:
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sp_uid = _uid("SpecPoint", spec["spec_code"], ref)
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s.run(
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"MERGE (p:SpecPoint {uuid_string:$uid}) "
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"SET p.ref=$ref, p.description=$desc, p.spec_code=$sc, "
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" p.exam_board_code=$ebc, p.node_storage_path=$nsp "
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"WITH p MATCH (s:Specification {spec_code:$sc}) MERGE (s)-[:HAS_SPEC_POINT]->(p)",
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uid=sp_uid, ref=ref, desc=desc, sc=SPEC["spec_code"],
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ebc=SPEC["exam_board_code"], nsp=f"{EXAM_DB}/SpecPoint/{SPEC['spec_code']}/{ref}",
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uid=sp_uid, ref=ref, desc=desc, sc=spec["spec_code"],
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ebc=spec["exam_board_code"], nsp=f"{EXAM_DB}/SpecPoint/{spec['spec_code']}/{ref}",
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).consume()
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result["spec_points"] += 1
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