Spaces:
Running on CPU Upgrade
Running on CPU Upgrade
Deploy SAT & ACT Learning Lab 1.8.18+hfbuild4
Browse files- DEPLOYMENT_NOTES.md +6 -6
- README.md +6 -6
- app.py +0 -0
- release_manifest.json +38 -38
DEPLOYMENT_NOTES.md
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# Deployment notes — SAT & ACT Learning Lab 1.8.
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Target private Space: `DearmonAnalytics/SAT_ACT_Learning_Lab`
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@@ -6,7 +6,7 @@ Turso database: `dearmon-sat-act-learning-lab`
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Schema namespace: `sat_act_learning_lab_v1`
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Encrypted-source secret: `
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## Runtime contract
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Core secrets are `OPENAI_API_KEY`, `TURSO_DATABASE_URL`, `TURSO_AUTH_TOKEN`,
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`LEARNER_ID_HMAC_SECRET`, `INSTRUCTOR_EXPORT_SECRET`, and
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`
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`SIMLI_API_KEY`.
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Email recovery uses `AUTH_RECOVERY_EMAIL_ENABLED`, `AUTH_SMTP_HOST`,
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`environment.example` used to prepare this deployment. Remote avatar-client
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module overrides are intentionally rejected.
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Version 1.8.
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compatibility contracts. Resume only a saved contract that is explicitly supported;
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legacy checkpoints follow the tested compatibility allowlist. Incompatible work
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stays blocked and requires an approved transition or learner choice, never silent
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"3.12.13"; the builder verifies agreement with runtime.txt and the loader.
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Health verification records the actual interpreter before deployment succeeds.
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Acceptance testing for v1.8.
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ink, blue, teal, and coral palette; compact 1,240-pixel workspace; bundled
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same-origin Inter, Source Serif 4, and Geist Mono; and one crisp DA gradient rule
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across the compact chooser and three shadow-free horizontal Practice rails.
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## Key lifecycle and rollback
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The current loader reads only `
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new versioned, fingerprinted secret name. The deployer adds that secret before
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the repository commit and retains earlier keys. Roll back by reverting the
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Space repository to the prior commit recorded in `deployment_receipt.json`.
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# Deployment notes — SAT & ACT Learning Lab 1.8.18+hfbuild4
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Target private Space: `DearmonAnalytics/SAT_ACT_Learning_Lab`
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Schema namespace: `sat_act_learning_lab_v1`
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Encrypted-source secret: `SAT_ACT_APP_FERNET_V1_8_18_HFBUILD4_FA5015374498_A1E62B59554C`
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## Runtime contract
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Core secrets are `OPENAI_API_KEY`, `TURSO_DATABASE_URL`, `TURSO_AUTH_TOKEN`,
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`LEARNER_ID_HMAC_SECRET`, `INSTRUCTOR_EXPORT_SECRET`, and
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`SAT_ACT_APP_FERNET_V1_8_18_HFBUILD4_FA5015374498_A1E62B59554C`. Live avatar video additionally uses optional
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`SIMLI_API_KEY`.
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Email recovery uses `AUTH_RECOVERY_EMAIL_ENABLED`, `AUTH_SMTP_HOST`,
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`environment.example` used to prepare this deployment. Remote avatar-client
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module overrides are intentionally rejected.
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Version 1.8.18+hfbuild4 uses immutable item/timing/scoring snapshots and explicit recovery
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compatibility contracts. Resume only a saved contract that is explicitly supported;
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legacy checkpoints follow the tested compatibility allowlist. Incompatible work
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stays blocked and requires an approved transition or learner choice, never silent
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"3.12.13"; the builder verifies agreement with runtime.txt and the loader.
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Health verification records the actual interpreter before deployment succeeds.
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Acceptance testing for v1.8.18+hfbuild4 must verify the exact Dearmon Analytics paper,
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ink, blue, teal, and coral palette; compact 1,240-pixel workspace; bundled
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same-origin Inter, Source Serif 4, and Geist Mono; and one crisp DA gradient rule
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across the compact chooser and three shadow-free horizontal Practice rails.
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## Key lifecycle and rollback
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The current loader reads only `SAT_ACT_APP_FERNET_V1_8_18_HFBUILD4_FA5015374498_A1E62B59554C`. A later release must generate a
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new versioned, fingerprinted secret name. The deployer adds that secret before
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the repository commit and retains earlier keys. Roll back by reverting the
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Space repository to the prior commit recorded in `deployment_receipt.json`.
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README.md
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# Dearmon Analytics SAT & ACT Learning Lab
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Release `1.8.
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ACT skill blueprints, a complete eight-level question-skill hierarchy,
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individual mastery tracking, targeted practice, and test-like diagnostic
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sessions with separate raw results and unofficial practice-score estimates. It adds username/password
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a branded PNG, printable PDF, accessible hierarchy-and-concepts CSV, and
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verification manifest; demo sessions remain nonexportable.
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Release 1.8.
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coral system established in v1.4.4 for the compact 1,240-pixel workspace. Bundled Inter, Source Serif 4, and
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Geist Mono fonts are served from same-origin routes. The compact test chooser
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and closely stacked Section → Domain → Narrow Topic rails use one restrained DA
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fallback. The collapsed item-specific Concepts Needed swim lane, complete
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analogous worked examples, separate hints, and mastery whitening remain.
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Release 1.8.
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Exam → Section → Official Domain → Official Skill Family → Narrow Exam
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Target → Prerequisite Bundle → Atomic Skill → Observable Failure Attribute
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path. Each stable profile contains its complete ancestor and transitive-
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eight observed items or less than one quarter of a standard section remains a
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preliminary, very-low-confidence result below the reporting threshold.
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Release 1.8.
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explanation and a signed-in cross-question Learning Diagnostic. The diagnostic
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unlocks only after strict majority coverage of both Reading and Math for the
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same exam. It sends OpenAI only allowlisted aggregate performance evidence—not
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This private Space uses the separate Turso database
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`dearmon-sat-act-learning-lab` and schema namespace
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`sat_act_learning_lab_v1`. Its encrypted application uses the versioned Space
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secret `
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Required Space secrets are `OPENAI_API_KEY`, `TURSO_DATABASE_URL`,
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`TURSO_AUTH_TOKEN`, `LEARNER_ID_HMAC_SECRET`, `INSTRUCTOR_EXPORT_SECRET`, and
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## Upgrade note
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-
Version 1.8.
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compatibility contracts. Resume only a saved contract that is explicitly supported;
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legacy checkpoints follow the tested compatibility allowlist. Incompatible work
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stays blocked and requires an approved transition or learner choice, never silent
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# Dearmon Analytics SAT & ACT Learning Lab
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Release `1.8.18+hfbuild4` provides original dynamic practice for current SAT and
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ACT skill blueprints, a complete eight-level question-skill hierarchy,
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individual mastery tracking, targeted practice, and test-like diagnostic
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sessions with separate raw results and unofficial practice-score estimates. It adds username/password
|
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a branded PNG, printable PDF, accessible hierarchy-and-concepts CSV, and
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verification manifest; demo sessions remain nonexportable.
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+
Release 1.8.18+hfbuild4 retains the exact Dearmon Analytics paper, ink, blue, teal, and
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coral system established in v1.4.4 for the compact 1,240-pixel workspace. Bundled Inter, Source Serif 4, and
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Geist Mono fonts are served from same-origin routes. The compact test chooser
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and closely stacked Section → Domain → Narrow Topic rails use one restrained DA
|
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fallback. The collapsed item-specific Concepts Needed swim lane, complete
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analogous worked examples, separate hints, and mastery whitening remain.
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Release 1.8.18+hfbuild4 assigns all 1,983 trusted built-in question profiles their full
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Exam → Section → Official Domain → Official Skill Family → Narrow Exam
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Target → Prerequisite Bundle → Atomic Skill → Observable Failure Attribute
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path. Each stable profile contains its complete ancestor and transitive-
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eight observed items or less than one quarter of a standard section remains a
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preliminary, very-low-confidence result below the reporting threshold.
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+
Release 1.8.18+hfbuild4 retains one OpenAI-assisted follow-up beneath each graded
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explanation and a signed-in cross-question Learning Diagnostic. The diagnostic
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unlocks only after strict majority coverage of both Reading and Math for the
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same exam. It sends OpenAI only allowlisted aggregate performance evidence—not
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This private Space uses the separate Turso database
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`dearmon-sat-act-learning-lab` and schema namespace
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`sat_act_learning_lab_v1`. Its encrypted application uses the versioned Space
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+
secret `SAT_ACT_APP_FERNET_V1_8_18_HFBUILD4_FA5015374498_A1E62B59554C`.
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Required Space secrets are `OPENAI_API_KEY`, `TURSO_DATABASE_URL`,
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`TURSO_AUTH_TOKEN`, `LEARNER_ID_HMAC_SECRET`, `INSTRUCTOR_EXPORT_SECRET`, and
|
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## Upgrade note
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+
Version 1.8.18+hfbuild4 uses immutable item/timing/scoring snapshots and explicit recovery
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| 185 |
compatibility contracts. Resume only a saved contract that is explicitly supported;
|
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legacy checkpoints follow the tested compatibility allowlist. Incompatible work
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stays blocked and requires an approved transition or learner choice, never silent
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app.py
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The diff for this file is too large to render.
See raw diff
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release_manifest.json
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{
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"built_utc": "2026-09-
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"database_name": "dearmon-sat-act-learning-lab",
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"encrypted_payload_sha256": "
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"entry_module": "sat_act_lab.app_main",
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"fernet_secret_name": "
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"key_fingerprint_sha256_prefix": "
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"plaintext_archive_sha256": "
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"public_runtime_overrides": {
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"AUTH_EMAIL_FROM": "jacob@dearmonanalytics.com"
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},
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"release_version": "1.8.
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"schema_namespace": "sat_act_learning_lab_v1",
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"schema_version": "dearmon-sat-act-release-v1",
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"source_members": {
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"sat_act_lab/__init__.py": {
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"bytes": 72,
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"sha256": "
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},
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"sat_act_lab/account_browser.py": {
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"bytes":
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"sha256": "
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},
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"sat_act_lab/act_english_bank.py": {
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"bytes": 79622,
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"sha256": "f27b4dbc7380b15856a09156e10193e01e9ee986afa307f81e85f8255a4bc42a"
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},
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"sat_act_lab/act_reading_bank.py": {
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"bytes":
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"sha256": "
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},
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"sat_act_lab/act_science_bank.py": {
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"bytes":
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"sha256": "
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},
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"sat_act_lab/adaptive_test.py": {
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"bytes": 28809,
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"sha256": "e2e964945f7eb773ac6a4b47a9e2568b61ef738dce0ccf131895b76037e42acf"
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},
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"sat_act_lab/app_main.py": {
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"bytes":
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"sha256": "
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},
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"sat_act_lab/assessment_checkpoint.py": {
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"bytes": 9881,
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"sha256": "5781c5eded55723e32cbfcca9ca9f6c1717b15106f904a2f187eb1f3c6996949"
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},
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"sat_act_lab/assessment_view.py": {
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"bytes":
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"sha256": "
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},
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"sat_act_lab/attribute_graph.py": {
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"bytes": 136067,
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"sha256": "f3e552f76e81cd1a65187cfa95c126b42497f7a623000057c55aa210eb24e978"
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},
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"sat_act_lab/browser_compat.py": {
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"bytes":
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"sha256": "
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"sat_act_lab/checkpoint_keys.py": {
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"bytes": 2874,
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"sha256": "9554f9dc9db967c2fe51c27c59e3d15edadd690f4fb9d538833096783d790bc8"
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},
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"sat_act_lab/exam_engine.py": {
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"bytes":
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"sha256": "
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"sat_act_lab/exam_pdf_export.py": {
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"bytes": 52839,
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"sha256": "253c0eab1a2d89228bf0e27181322b383dc2cfcdb4876fd5ef2f51579a899b37"
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},
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"sat_act_lab/mastery_dashboard_view.py": {
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"bytes":
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"sha256": "
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"sat_act_lab/math_rendering.py": {
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"bytes": 24229,
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"sha256": "afa8222cfcb5f4613450e840c924e06df3428a910abdef353b295eeef2e17062"
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},
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"sat_act_lab/recovery_compatibility.py": {
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"bytes":
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"sha256": "
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"sat_act_lab/release_authorization.py": {
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"bytes": 17375,
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"sha256": "3a551dfdece787ff06002231fc23e7732cc09ca4f323069d2245e0aa820fca2a"
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},
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"sat_act_lab/saved_test_reports.py": {
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"sat_act_lab/score_estimator.py": {
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"bytes": 32840,
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"sha256": "6c5cb851d90136169718a8949d525736ffba4faad9e7dc1cca13bf4f822d5fb3"
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},
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"sat_act_lab/skill_mastery_view.py": {
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"sat_act_lab/skill_scope.py": {
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"bytes": 1682,
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},
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"sat_act_lab/skill_score_impact_catalog.py": {
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"bytes": 731590,
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},
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"sat_act_lab/skill_score_impact_report.py": {
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"bytes": 9331,
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"sha256": "2e85f5cb7b0f25aab4beec7192768ad5aa67d0cfff8dd803373ac7875275ef24"
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},
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"sat_act_lab/timed_checkpoint.py": {
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"bytes":
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},
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"sat_act_lab/topic_graph_report.py": {
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"bytes": 26350,
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"sha256": "f151d8839bd6124c44d589eb61da57a1c99f4bcc1f77a46e5b80f1a7e77ad061"
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"sat_act_lab/tracking.py": {
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"space_file_hashes": {
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},
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"DEPLOYMENT_NOTES.md": {
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"bytes": 18330,
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"sha256": "
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},
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"README.md": {
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"bytes": 15842,
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},
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"THIRD_PARTY_NOTICES.md": {
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"bytes": 73850,
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"sha256": "288997d5002f0932271a0a7173a2cf074f63e3c2ad0cd9195a6c32e4c29e452b"
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},
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"app.py": {
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"bytes":
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"sha256": "
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"pre-requirements.txt": {
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"bytes": 44842,
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{
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"built_utc": "2026-09-14T15:55:24+00:00",
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"database_name": "dearmon-sat-act-learning-lab",
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"encrypted_payload_sha256": "07ff313a929ea029047dae29f7202b59bf0e830567723f545bf961f5a8c8442a",
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"entry_module": "sat_act_lab.app_main",
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"fernet_secret_name": "SAT_ACT_APP_FERNET_V1_8_18_HFBUILD4_FA5015374498_A1E62B59554C",
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"key_fingerprint_sha256_prefix": "A1E62B59554C",
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"plaintext_archive_sha256": "fa5015374498166096cd179aec16d33d8be200ab5f2f9afcba336da1ec0f4a4b",
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"public_runtime_overrides": {
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"AUTH_EMAIL_FROM": "jacob@dearmonanalytics.com"
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},
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"release_version": "1.8.18+hfbuild4",
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"schema_namespace": "sat_act_learning_lab_v1",
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"schema_version": "dearmon-sat-act-release-v1",
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"source_members": {
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"sat_act_lab/__init__.py": {
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"bytes": 72,
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"sha256": "27ce785f176c566e483ab6fd045d186945030ff135f9b3182597f32fae6239b3"
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},
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"sat_act_lab/account_browser.py": {
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"bytes": 44590,
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"sha256": "168332df15e15584aa626952a74dd398fd2afa334bce53dff9dedbc255522a0b"
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