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146 lines
7.0 KiB
Python
146 lines
7.0 KiB
Python
"""Pure JSON (de)serialization for the domain ``DifyBuilderContext``.
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``DifyBuilderContext`` (see ``core.dify_builder.models``) is the per-session
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working state persisted, one row per version, as the ``context`` JSONB
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column on ``dify_builder_session_commits``. This module has no I/O and
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no SQLAlchemy dependency -- it only converts between the dataclass and a
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JSON-safe ``dict``, so the SQL repository can hand the dict straight to an
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``AdjustedJSON`` column and get it back unchanged. The on-disk key names are
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unchanged from the pre-rename dataclass form so existing rows deserialize
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as-is.
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"""
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from dataclasses import asdict
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from typing import Any
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from core.dify_builder.models import (
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ChangeSet,
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ChecklistError,
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Diagnosis,
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DifyBuilderContext,
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MutationIntent,
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Risk,
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TestInput,
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)
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from services.dify_builder.plan import validated_confirmed_requirement_keys
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def context_to_dict(fc: DifyBuilderContext) -> dict[str, Any]:
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"""Serialize a ``DifyBuilderContext`` to a JSON-safe dict.
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``dataclasses.asdict`` recurses into the nested dataclasses
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(``Diagnosis``, ``MutationIntent``, ``Risk``, ``ChangeSet``,
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``ChecklistError``), turning each into a plain dict; every field is a
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str/int/bool/list/dict/None -- so the result is JSON-safe as-is.
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"""
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from services.dify_builder.code_risk_assessment import validated_assessments
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from services.dify_builder.task_lifecycle import validated_task_summaries
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result = asdict(fc)
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result["confirmed_requirement_keys"] = validated_confirmed_requirement_keys(fc.confirmed_requirement_keys)
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result["code_risk_assessments"] = validated_assessments(fc.code_risk_assessments)
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result["task_summaries"] = [asdict(summary) for summary in validated_task_summaries(fc.task_summaries)]
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return result
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def context_from_dict(d: dict[str, Any]) -> DifyBuilderContext:
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"""Rebuild a ``DifyBuilderContext`` from a dict produced by ``context_to_dict``.
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Reconstructs the nested dataclasses explicitly (they are plain dicts
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after a JSON round-trip). Every lookup is defensive (``.get`` with a
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default matching the field default) so an older or partial dict still
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yields a valid ``DifyBuilderContext``.
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"""
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from services.dify_builder.code_risk_assessment import validated_assessments
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from services.dify_builder.task_lifecycle import validated_task_summaries
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diagnosis = Diagnosis(**d["diagnosis"]) if d.get("diagnosis") else None
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staged_repair = [MutationIntent(**m) for m in d.get("staged_repair", [])]
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risk = Risk(**d["risk"]) if d.get("risk") else None
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change_set = ChangeSet(**d["change_set"]) if d.get("change_set") else None
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checklist_errors = [ChecklistError(**e) for e in d.get("checklist_errors", [])]
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return DifyBuilderContext(
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failed_run_id=d.get("failed_run_id", ""),
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diagnosis=diagnosis,
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staged_repair=staged_repair,
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repair_attempts=int(d.get("repair_attempts", 0)),
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last_repair_error=d.get("last_repair_error", ""),
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last_repair_graph_revision=d.get("last_repair_graph_revision", ""),
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unknown_outcome_count=int(d.get("unknown_outcome_count", 0)),
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risk=risk,
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change_set=change_set,
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checkpoint_id=d.get("checkpoint_id", ""),
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verify_run_id=d.get("verify_run_id", ""),
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test_input_ref=d.get("test_input_ref", ""),
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retained_test_input_ref=d.get("retained_test_input_ref", ""),
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last_snapshot_hash=d.get("last_snapshot_hash", ""),
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next_seq=d.get("next_seq", 0),
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source=d.get("source", ""),
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checklist_errors=checklist_errors,
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business_acceptance_contract=dict(d.get("business_acceptance_contract") or {}),
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business_acceptance_task_id=d.get("business_acceptance_task_id", ""),
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business_acceptance_case_id=d.get("business_acceptance_case_id", ""),
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business_acceptance_run_refs=dict(d.get("business_acceptance_run_refs") or {}),
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goal_text=d.get("goal_text", ""),
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attachment_material=list(d.get("attachment_material") or []),
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active_entry_mode=d.get("active_entry_mode", ""),
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requirements=dict(d.get("requirements") or {}),
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confirmed_requirement_keys=validated_confirmed_requirement_keys(d.get("confirmed_requirement_keys")),
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confirmed_requirement_sources=d["confirmed_requirement_sources"]
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if isinstance(d.get("confirmed_requirement_sources"), dict)
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else {},
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knowledge_source_intent=d["knowledge_source_intent"]
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if isinstance(d.get("knowledge_source_intent"), dict)
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else {},
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plan_items=list(d.get("plan_items") or []),
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plan_title=d.get("plan_title", ""),
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plan_input_summary=d.get("plan_input_summary", ""),
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plan_output_summary=d.get("plan_output_summary", ""),
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plan_version_tag=d.get("plan_version_tag", ""),
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resource_selection=dict(d.get("resource_selection") or {}),
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built_node_ids=list(d.get("built_node_ids") or []),
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form_fields=list(d.get("form_fields") or []),
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app_name=d.get("app_name", ""),
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app_name_auto=bool(d.get("app_name_auto", False)),
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edit_rules=dict(d.get("edit_rules") or {}),
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edit_target_node_ids=list(d.get("edit_target_node_ids") or []),
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last_edit_rejection=d.get("last_edit_rejection", ""),
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paused=bool(d.get("paused", False)),
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task_control=dict(d.get("task_control") or {}),
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logical_task_id=str(d.get("logical_task_id") or ""),
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logical_task_ordinal=max(0, int(d.get("logical_task_ordinal") or 0)),
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task_status=d.get("task_status", ""),
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task_summaries=validated_task_summaries(d.get("task_summaries")),
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checkpoint_seq=int(d.get("checkpoint_seq", 0)),
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last_structure_fingerprint=d.get("last_structure_fingerprint", ""),
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recovery_class=d.get("recovery_class", ""),
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last_command_id=d.get("last_command_id", ""),
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confirmed_consent_id=d.get("confirmed_consent_id", ""),
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confirmed_command_id=d.get("confirmed_command_id", ""),
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effect_confirmation={
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str(node_id): str(signature) for node_id, signature in (d.get("effect_confirmation") or {}).items()
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},
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effect_confirmation_form={
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str(node_id): str(signature) for node_id, signature in (d.get("effect_confirmation_form") or {}).items()
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},
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code_risk_assessments=validated_assessments(d.get("code_risk_assessments")),
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skill_learning_policy=d.get("skill_learning_policy", "ask"),
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model_config=dict(d.get("model_config") or {}),
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reply_language=d.get("reply_language", ""),
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)
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def test_input_from_dict(d: dict[str, Any]) -> TestInput:
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"""Decode historical inputs without inventing fixture provenance."""
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from services.dify_builder.application.execution_policy import decode_http_fixture_set
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return TestInput(
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id=d.get("id", ""),
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session_id=d.get("session_id", ""),
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source=d.get("source", ""),
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inputs=d.get("inputs", {}),
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start_schema_hash=d.get("start_schema_hash", ""),
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http_fixtures=decode_http_fixture_set(d.get("http_fixtures")),
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)
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