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{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"=== BEGIN ARTIFACT FEATURE-Streaming-Transformations.md ===\n# FEATURE: Streaming Transformations\n\n| Field | Value |\n|-------------|-------|\n| Version | 20260822 V1 |\n| Description | Implement jq streaming conversion and truncation filters over the fixed process boundary. |\n| Depends On | FEATURE-Path-Discovery.md, FEATURE-Generator-Core.md, FEATURE-Collection-Transformations.md |\n| Provides | tostream, fromstream, truncate_stream |\n| Consumes | ordered generators, path discovery, JSON values |\n\n## Questions\n\n- None.\n\n## Purpose\n\nImplement the streaming value representation described by the jq manual while retaining the fixed non-streaming CLI interface. `tostream` emits path/value stream records, `fromstream` reconstructs values, and `truncate_stream` removes leading path components.\n\n## Behavior\n\n- `tostream` emits stream records in jq traversal order, including container termination records.\n- `fromstream` reconstructs arrays, objects, scalars, empty containers, and multiple streamed values.\n- `truncate_stream` consumes an integer depth and emits records with that many leading path components removed.\n- Invalid stream structures and invalid truncation depths follow jq runtime-error behavior.\n- The implementation uses only the standard library and preserves generator ordering.\n\n## Programmatic Acceptance\n\n=== AC streaming-conformance ===\nIntent: The streaming filters pass the executed conformance cases selected by their syntax.\nSuite: scoped\nRequires: executable=python3; scope=test\n\nimport json\nimport os\nimport subprocess\nimport sys\n\nselect = r\"tostream|fromstream|truncate_stream\"\nresult = subprocess.run(\n [sys.executable, \"sources/run_conformance.py\", \"--select\", select, \"--json\"],\n capture_output=True,\n text=True,\n env={**os.environ, \"JQ\": f\"{os.getcwd()}/jq\"},\n)\nprint(result.stdout)\nprint(result.stderr, file=sys.stderr)\nreport = json.loads(result.stdout)\nsummary = report[\"summary\"]\nassert sum(summary.values()) > 0\nassert summary[\"fail\"] == 0\nassert summary[\"error\"] == 0\nassert result.returncode == 0\n=== END AC streaming-conformance ===\n\n=== AC streaming-roundtrip ===\nIntent: A streamed value can be reconstructed without changing its value.\nimport json\nimport os\nimport subprocess\n\nsource = \"[0,[1,{\\\"a\\\":2}]]\"\nprogram = \". as $dot | fromstream($dot|tostream) | . == $dot\"\nresult = subprocess.run(\n [\"./jq\", \"-c\", program],\n input=source + \"\\n\",\n capture_output=True,\n text=True,\n)\nassert result.returncode == 0\nactual = [json.loads(line) for line in result.stdout.splitlines()]\nexpected = [True]\nassert actual == expected\n=== END AC streaming-roundtrip ===\n\n=== AC streaming-truncation ===\nIntent: Truncating a stream removes the requested leading path depth.\nimport json\nimport subprocess\n\nstream = \"[[0],\\\"a\\\"],[[1,0],\\\"b\\\"],[[1,0]],[[1]]\"\nprogram = \"truncate_stream(1|[[0],\\\"a\\\"],[[1,0],\\\"b\\\"],[[1,0]],[[1]])\"\nresult = subprocess.run(\n [\"./jq\", \"-c\", program],\n input=\"1\\n\",\n capture_output=True,\n text=True,\n)\nassert result.returncode == 0\nactual = [json.loads(line) for line in result.stdout.splitlines()]\nexpected = [[[0], \"b\"], [[0]]]\nassert actual == expected\n=== END AC streaming-truncation ===\n\n## User Acceptance\n\n- None.\n\n## Guardrails\n\n- Do not add a streaming command-line mode; these filters operate within the fixed `-c` interface.\n- Do not shell out to jq or use a third-party implementation.\n- Preserve stream record order and multiplicity.\n- Do not modify files under `sources/`.\n\n=== END ARTIFACT ===\n=== BEGIN ARTIFACT FEATURE-Conformance-Asset-Staging.md ===\n# FEATURE: Conformance Asset Staging\n\n| Field | Value |\n|-------------|-------|\n| Version | 20260822 V1 |\n| Description | Stage and validate the immutable jq conformance assets required by the build. |\n| Depends On | — |\n| Provides | staged sources/* assets, parsed corpus and exclusions |\n| Consumes | — |\n\n## Questions\n\n- None.\n\n## Purpose\n\nMake the supplied manual, corpus, parser and lexer references, builtin reference, exclusions, runner, and full-test script available under `sources/` in the application root without modification.\n\n## Behavior\n\n- All imported source assets are copied byte-for-byte to their declared `sources/` paths.\n- The supplied harness imports successfully.\n- The corpus parses into its authoritative case set.\n- Every exclusion matches at least one corpus case.\n- This story validates staging only and does not execute candidate conformance cases.\n\n## Programmatic Acceptance\n\n=== AC staging-assets ===\nIntent: The staged harness parses the corpus and applies every declared exclusion successfully.\nimport sys\n\nsys.path.insert(0, \"sources\")\nimport run_conformance as harness\n\ncases = harness.parse_corpus(harness.CORPUS.read_text(encoding=\"utf-8\"))\nexcluded = harness.apply_exclusions(\n cases,\n harness.parse_exclusions(harness.EXCLUSIONS),\n)\nassert len(cases) == 550\nassert len(excluded) == 13\n=== END AC staging-assets ===\n\n=== AC staging-harness-import ===\nIntent: The staged harness exposes the required corpus and exclusion paths.\nfrom pathlib import Path\nimport sys\n\nsys.path.insert(0, \"sources\")\nimport run_conformance as harness\n\nassert harness.CORPUS.is_file()\nassert harness.EXCLUSIONS.is_file()\nassert Path(\"sources/full_test.sh\").is_file()\nassert Path(\"sources/jq.test\").is_file()\n=== END AC staging-harness-import ===\n\n=== AC staging-readonly-assets ===\nIntent: The staged scoring assets retain their required executable and readable forms.\nfrom pathlib import Path\n\nassert Path(\"sources/full_test.sh\").stat().st_mode & 0o111\nassert Path(\"sources/run_conformance.py\").read_text(encoding=\"utf-8\")\nassert Path(\"sources/jq-manual.txt\").read_text(encoding=\"utf-8\")\nassert Path(\"sources/parser.y\").read_text(encoding=\"utf-8\")\nassert Path(\"sources/lexer.l\").read_text(encoding=\"utf-8\")\n=== END AC staging-readonly-assets ===\n\n## User Acceptance\n\n- None.\n\n## Guardrails\n\n- Never modify, trim, regenerate, or substitute any file under `sources/`.\n- Do not launch the conformance harness from this staging story.\n- Preserve the supplied corpus and exclusion data verbatim.\n- The staged assets are read-only scoring inputs.\n\n=== END ARTIFACT ===\n=== BEGIN ARTIFACT FEATURE-Scoped-Conformance-Verification.md ===\n# FEATURE: Scoped Conformance Verification\n\n| Field | Value |\n|-------------|-------|\n| Version | 20260822 V1 |\n| Description | Provide construct-scoped execution of the supplied jq conformance harness. |\n| Depends On | FEATURE-Executable-Entry-Point.md, FEATURE-Process-Contract.md, FEATURE-Conformance-Asset-Staging.md |\n| Provides | scoped conformance execution contract |\n| Consumes | executable jq, staged conformance assets |\n\n## Questions\n\n- None.\n\n## Purpose\n\nEnsure implementation stories can execute only the corpus slice corresponding to the capability under construction, using the supplied runner and its machine-readable report.\n\n## Behavior\n\n- Each scoped invocation supplies `JQ` while preserving the inherited environment.\n- Selectors match actual jq program syntax and execute selected cases.\n- Acceptance reads the parsed JSON summary rather than scraping human-readable output.\n- A valid scoped run requires a nonzero selected case count, zero failures, zero errors, and exit status zero.\n- The unfiltered corpus remains reserved for the terminal verification story.\n\n## Programmatic Acceptance\n\n=== AC scoped-runner-contract ===\nIntent: The supplied runner executes a nonempty scoped slice and reports a clean result.\nimport json\nimport os\nimport subprocess\nimport sys\n\nselect = r\"reduce\"\nresult = subprocess.run(\n [sys.executable, \"sources/run_conformance.py\", \"--select\", select, \"--json\"],\n capture_output=True,\n text=True,\n env={**os.environ, \"JQ\": f\"{os.getcwd()}/jq\"},\n)\nprint(result.stdout)\nprint(result.stderr, file=sys.stderr)\nreport = json.loads(result.stdout)\nsummary = report[\"summary\"]\nassert sum(summary.values()) > 0\nassert summary[\"fail\"] == 0\nassert summary[\"error\"] == 0\nassert result.returncode == 0\n=== END AC scoped-runner-contract ===\n\n=== AC scoped-selector-executes ===\nIntent: A syntax selector identifies executable corpus cases rather than merely enumerating them.\nimport json\nimport os\nimport subprocess\nimport sys\n\nselect = r\"try |error|\\?\"\nresult = subprocess.run(\n [sys.executable, \"sources/run_conformance.py\", \"--select\", select, \"--json\"],\n capture_output=True,\n text=True,\n env={**os.environ, \"JQ\": f\"{os.getcwd()}/jq\"},\n)\nprint(result.stdout)\nprint(result.stderr, file=sys.stderr)\nreport = json.loads(result.stdout)\nsummary = report[\"summary\"]\nassert sum(summary.values()) > 0\nassert summary[\"fail\"] == 0\nassert summary[\"error\"] == 0\nassert result.returncode == 0\n=== END AC scoped-selector-executes ===\n\n=== AC scoped-environment-preserved ===\nIntent: A scoped invocation supplies JQ without discarding the inherited execution environment.\nimport json\nimport os\nimport subprocess\nimport sys\n\nresult = subprocess.run(\n [sys.executable, \"sources/run_conformance.py\", \"--select\", r\"^(true|false|null|1)$\", \"--json\"],\n capture_output=True,\n text=True,\n env={**os.environ, \"JQ\": f\"{os.getcwd()}/jq\"},\n)\nreport = json.loads(result.stdout)\nsummary = report[\"summary\"]\nassert sum(summary.values()) > 0\nassert summary[\"fail\"] == 0\nassert summary[\"error\"] == 0\nassert result.returncode == 0\n=== END AC scoped-environment-preserved ===\n\n## User Acceptance\n\n- None.\n\n## Guardrails\n\n- Never use enumeration or dry-run mode as a behavioral acceptance gate.\n- Never invoke the unfiltered corpus from this story.\n- Never assert against printed summary text; parse the JSON report.\n- Never replace the inherited environment when setting `JQ`.\n- Do not modify supplied harness assets.\n\n=== END ARTIFACT ===\n=== BEGIN ARTIFACT FEATURE-Complete-Conformance-Verification.md ===\n# FEATURE: Complete Conformance Verification\n\n| Field | Value |\n|-------------|-------|\n| Version | 20260822 V1 |\n| Description | Verify the completed interpreter against the entire supplied jq conformance corpus. |\n| Depends On | ARCHITECTURE.md, FEATURE-Executable-Entry-Point.md, FEATURE-Process-Contract.md, FEATURE-JSON-IO-Boundary.md, FEATURE-Lexer.md, FEATURE-Literals-And-Interpolation.md, FEATURE-Filter-Grammar.md, FEATURE-Declarations-And-Control-Syntax.md, FEATURE-Generator-Core.md, FEATURE-Composition-And-Cartesian-Evaluation.md, FEATURE-Errors-And-Optional-Evaluation.md, FEATURE-Truthiness-And-Comparison.md, FEATURE-Value-Model.md, FEATURE-Field-And-Index-Access.md, FEATURE-Slices-And-Iteration.md, FEATURE-Type-And-Numeric-Primitives.md, FEATURE-Arithmetic-And-Structural-Operators.md, FEATURE-Boolean-And-Alternative-Operators.md, FEATURE-Conditionals-And-Exception-Flow.md, FEATURE-Labels-And-Breaks.md, FEATURE-Reductions-And-Iteration-Control.md, FEATURE-Recursive-Generators.md, FEATURE-Variable-Bindings.md, FEATURE-Function-Parameters.md, FEATURE-Function-Definitions-And-Recursion.md, FEATURE-Destructuring-Patterns.md, FEATURE-Path-Discovery.md, FEATURE-Path-Primitives.md, FEATURE-Deletion-And-Assignment.md, FEATURE-Complex-Assignment-Edges.md, FEATURE-Collection-Transformations.md, FEATURE-Sorting-And-Grouping.md, FEATURE-Object-Entries-And-Containment.md, FEATURE-Index-And-Membership-Utilities.md, FEATURE-String-Manipulation.md, FEATURE-JSON-And-Output-Formats.md, FEATURE-Regular-Expressions.md, FEATURE-Date-And-Time-Filters.md, FEATURE-Input-Streams.md, FEATURE-Diagnostics-And-Stderr.md, FEATURE-Streaming-Transformations.md, FEATURE-Conformance-Asset-Staging.md, FEATURE-Scoped-Conformance-Verification.md |\n| Provides | complete conformance release verification |\n| Consumes | executable jq, all interpreter capabilities, staged conformance assets |\n\n## Questions\n\n- None.\n\n## Purpose\n\nRun the supplied scoring entry point once the complete interpreter is assembled. This is the terminal verification story and the project-level technical acceptance gate.\n\n## Behavior\n\n- `sources/full_test.sh` verifies that `./jq` is executable.\n- The script invokes the supplied conformance runner over the complete corpus.\n- The candidate must return zero for every executed valid case and exit 3 for every marked compile failure.\n- Declared module-loader exclusions remain skipped by the supplied exclusion list.\n- The story does not modify, filter, reinterpret, or replace the scoring assets.\n\n## Programmatic Acceptance\n\n=== AC complete-conformance ===\nIntent: The completed executable passes the supplied full jq conformance suite.\nSuite: full\nRequires: executable=sh; scope=test\nRequires: executable=python3; scope=test\n\nimport os\nimport subprocess\n\nresult = subprocess.run(\n [\"sh\", \"sources/full_test.sh\"],\n capture_output=True,\n text=True,\n env={**os.environ},\n)\nprint(result.stdout)\nprint(result.stderr, file=os.sys.stderr)\nassert result.returncode == 0\n=== END AC complete-conformance ===\n\n=== AC executable-interface-final ===\nIntent: The final executable accepts the fixed compact filter interface and completes successfully.\nimport json\nimport subprocess\n\nprogram = \".\"\npayload = '{\"status\":\"ready\"}\\n'\nresult = subprocess.run(\n [\"./jq\", \"-c\", program],\n input=payload,\n capture_output=True,\n text=True,\n)\nassert result.returncode == 0\nactual = [json.loads(line) for line in result.stdout.splitlines()]\nexpected = [json.loads(payload)]\nassert actual == expected\n=== END AC executable-interface-final ===\n\n## User Acceptance\n\n- None.\n\n## Guardrails\n\n- This is the only story permitted to invoke `sh sources/full_test.sh`.\n- It is terminal and depends on every implementation and conformance story.\n- Do not add selectors, skips, output reinterpretation, or exit-code substitution.\n- Do not modify any file under `sources/`.\n- The full-suite exit status is the acceptance verdict; diagnostics are for evidence only.\n\n=== END ARTIFACT ==="}}
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