[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"summary-9083ba0dfd966742-build-queryable-options-iv-db-from-live-api-polls-summary":3,"summaries-facets-categories":291,"summary-related-9083ba0dfd966742-build-queryable-options-iv-db-from-live-api-polls-summary":7195},{"id":4,"title":5,"ai":6,"body":13,"categories":256,"created_at":258,"date_modified":258,"description":250,"extension":259,"faq":258,"featured":260,"kicker_label":258,"meta":261,"navigation":273,"path":274,"published_at":275,"question":258,"scraped_at":276,"seo":277,"sitemap":278,"source_id":279,"source_name":280,"source_type":281,"source_url":282,"stem":283,"tags":284,"thumbnail_url":258,"tldr":288,"tweet":258,"unknown_tags":289,"__hash__":290},"summaries\u002Fsummaries\u002F9083ba0dfd966742-build-queryable-options-iv-db-from-live-api-polls-summary.md","Build Queryable Options IV DB from Live API Polls",{"provider":7,"model":8,"input_tokens":9,"output_tokens":10,"processing_time_ms":11,"cost_usd":12},"openrouter","x-ai\u002Fgrok-4.1-fast",9219,1883,33987,0.00227845,{"type":14,"value":15,"toc":249},"minimark",[16,21,82,106,110,149,173,195,199,221,239],[17,18,20],"h2",{"id":19},"dual-table-schema-enables-time-series-audits-and-instant-current-views","Dual-Table Schema Enables Time-Series Audits and Instant Current Views",[22,23,24,25,29,30,33,34,37,38,41,42,45,46,49,50,53,54,57,58,61,62,65,66,69,70,73,74,77,78,81],"p",{},"Store live options analytics in two SQLite tables for balanced access patterns. ",[26,27,28],"code",{},"implied_quote_history"," is append-only, preserving every snapshot with ",[26,31,32],{},"id"," autoincrement primary key, ",[26,35,36],{},"asof_ts"," (UTC ISO timestamp per poll), and ",[26,39,40],{},"option_key"," (stable identifier: ",[26,43,44],{},"symbol|expiry|strike|cp|at|ts",") as join key. Indexes on ",[26,47,48],{},"(symbol, expiry, asof_ts)"," and ",[26,51,52],{},"(option_key, asof_ts)"," speed expiry-time or option-timeline queries. Columns capture surface IV (",[26,55,56],{},"s_vol","), ATM vol (",[26,59,60],{},"atm_vol","), Greeks (delta, gamma, theta, vega), underlying price (",[26,63,64],{},"u_prc","), years to expiry (",[26,67,68],{},"years","), rate, bid\u002Fask\u002FIVs, ",[26,71,72],{},"calc_source"," (filter to \"Loop\" for consistent snapshots), ",[26,75,76],{},"quote_ok"," flag (1 if bid\u002Fask non-zero), and ",[26,79,80],{},"src_ts",".",[22,83,84,87,88,90,91,94,95,98,99,49,102,105],{},[26,85,86],{},"implied_quote_latest"," uses ",[26,89,40],{}," primary key for upserts: each poll overwrites with newest values, setting ",[26,92,93],{},"last_asof_ts"," to current snapshot time. Same columns and index on ",[26,96,97],{},"(symbol, expiry)",". PRAGMA ",[26,100,101],{},"journal_mode=WAL",[26,103,104],{},"synchronous=NORMAL"," ensure reliable writes. This split avoids full-history scans for \"current surface\" while retaining audit trail—history grows unbounded (e.g., 1454 rows\u002Fsnapshot × 9 polls = 12,806 total), latest stays flat at ~1454 rows.",[17,107,109],{"id":108},"normalize-and-poll-api-for-reliable-snapshots","Normalize and Poll API for Reliable Snapshots",[22,111,112,113,116,117,120,121,124,125,124,128,124,131,134,135,138,139,124,142,145,146,81],{},"Fetch via REST ",[26,114,115],{},"getmsgs"," on ",[26,118,119],{},"https:\u002F\u002Fmlink-live.nms.saturn.spiderrockconnect.com\u002Frest\u002Fjson"," with ",[26,122,123],{},"apiKey",", ",[26,126,127],{},"msgType=LiveImpliedQuote",[26,129,130],{},"where=okey.tk:eq:TSLA",[26,132,133],{},"limit=2000",". Response: list of messages ending in ",[26,136,137],{},"QueryResult","; filter to ",[26,140,141],{},"mTyp=LiveImpliedQuote",[26,143,144],{},"calcSource=Loop",", non-zero ",[26,147,148],{},"sVol",[22,150,151,152,155,156,158,159,162,163,165,166,168,169,172],{},"Flatten nested ",[26,153,154],{},"pkey.okey"," into ",[26,157,40],{}," via ",[26,160,161],{},"|",". Build DataFrame rows with all fields; sort by ",[26,164,80],{},", dedupe latest per ",[26,167,40],{},". ",[26,170,171],{},"quote_ok = int(not (o_bid == 0 and o_ask == 0))"," flags quoted options without dropping analytics-only rows.",[22,174,175,176,179,180,183,184,186,187,190,191,194],{},"Loop polls every ",[26,177,178],{},"poll_interval_s=10"," for ",[26,181,182],{},"poll_duration_s=120",": timestamp ",[26,185,36],{},", fetch\u002Fnormalize\u002Fwrite. Batch ",[26,188,189],{},"executemany"," inserts history; upsert latest with ",[26,192,193],{},"on conflict(option_key) do update set"," all fields. Handles varying row counts (e.g., 1454 → snapshot_rows fluctuates due to limit). Production tip: pin expiries\u002Fstrikes or interpolate to fixed moneyness for stability.",[17,196,198],{"id":197},"reconstruct-smiles-skew-and-metrics-from-history-queries","Reconstruct Smiles, Skew, and Metrics from History Queries",[22,200,201,202,205,206,209,210,213,214,216,217,220],{},"Query history for analysis: count rows per expiry (",[26,203,204],{},"group by expiry order by n desc limit 10",") to pick representative like ",[26,207,208],{},"2026-11-20"," (highest coverage). Pull ",[26,211,212],{},"asof_ts, strike, cp, s_vol, u_prc"," for expiry\u002Fsymbol; filter calls; plot ",[26,215,56],{}," vs strike for timestamps (first\u002Fmid\u002Flast of ",[26,218,219],{},"ts_list",").",[22,222,223,224,227,228,231,232,235,236,81],{},"Zoom near spot: ",[26,225,226],{},"s0 = u_prc.median()",", strikes in ",[26,229,230],{},"[s0*0.6, s0*1.4]"," reveals ATM shifts invisible in full range. Enables questions like \"TSLA surface at 10:32?\" or \"when skew steepened?\"—replay via ",[26,233,234],{},"where symbol=? and expiry=?"," or ",[26,237,238],{},"option_key, asof_ts",[22,240,241,242,244,245,248],{},"Track evolution: query timelines per option\u002Fexpiry to compute ATM IV (min ",[26,243,56],{}," near spot), skew proxies (wing vs ATM deltas). Stored ",[26,246,247],{},"u_prc, years, rate"," support smile rebuilds or Greeks audits without re-API calls. Trade-off: API fees for data; limit caps chains; no interpolation here keeps ingestion simple but may vary strikes across polls.",{"title":250,"searchDepth":251,"depth":251,"links":252},"",2,[253,254,255],{"id":19,"depth":251,"text":20},{"id":108,"depth":251,"text":109},{"id":197,"depth":251,"text":198},[257],"Data Science & Visualization",null,"md",false,{"content_references":262,"triage":268},[263],{"type":264,"title":265,"url":266,"context":267},"tool","SpiderRock MLink LiveImpliedQuote","https:\u002F\u002Fdocs.spiderrockconnect.com\u002Fdocs\u002Fnext\u002FMessageSchemas\u002FSchema\u002FTopics\u002Fanalytics\u002FLiveImpliedQuote\u002F","mentioned",{"relevance":269,"novelty":270,"quality":269,"actionability":269,"composite":271,"reasoning":272},4,3,3.8,"Category: AI Automation. The article provides a practical guide on building a queryable database from live API data, addressing the audience's need for actionable content in automation. It details a specific implementation using SQLite and Python, which can be directly applied by developers looking to integrate live data into their products.",true,"\u002Fsummaries\u002F9083ba0dfd966742-build-queryable-options-iv-db-from-live-api-polls-summary","2026-05-03 16:03:23","2026-05-03 17:01:13",{"title":5,"description":250},{"loc":274},"9083ba0dfd966742","Data Driven Investor","article","https:\u002F\u002Fmedium.datadriveninvestor.com\u002Ffrom-live-options-analytics-to-a-queryable-database-in-python-95fd1bd4ea92?source=rss----32881626c9c9---4","summaries\u002F9083ba0dfd966742-build-queryable-options-iv-db-from-live-api-polls-summary",[285,286,287],"python","data-science","automation","Capture SpiderRock LiveImpliedQuote snapshots for TSLA every 10s into SQLite: append full history for audits (12k+ rows in 2min), upsert latest view per option_key. Query to reconstruct vol smiles and track ATM IV\u002Fskew changes over time.",[],"mCfcLLxXWQrSwDkhpH5mS0KYJ0Zntifa3yboHqyovqg",[292,295,298,300,303,305,308,311,313,315,317,319,322,324,326,328,330,333,335,337,339,341,344,346,348,350,352,354,356,358,360,362,364,366,368,370,372,374,376,378,380,382,384,386,388,390,392,395,397,399,401,403,405,407,409,411,413,415,417,419,421,424,426,428,430,432,434,436,438,440,442,444,446,448,450,452,454,456,458,460,462,465,467,469,471,473,475,477,479,481,483,485,487,489,491,494,496,498,500,502,504,506,508,510,512,514,516,518,520,522,524,526,528,530,532,534,536,538,540,542,544,546,548,550,552,554,556,559,561,563,565,567,569,571,573,575,577,579,582,584,586,588,590,592,594,596,598,600,602,604,606,608,610,612,615,617,619,621,623,625,627,629,631,633,635,638,640,642,644,646,648,650,652,654,656,658,660,662,664,666,668,670,672,674,676,678,680,682,684,686,688,690,692,694,697,699,701,704,706,708,710,712,714,716,718,720,722,724,726,728,730,732,734,736,738,740,743,745,747,749,751,753,755,757,759,761,763,765,768,770,772,774,776,778,780,782,784,786,788,790,792,794,796,798,800,802,804,806,808,810,812,814,816,818,820,822,824,826,828,830,832,834,836,838,840,842,844,846,848,850,852,854,856,858,860,862,864,866,868,870,872,874,876,878,880,882,884,886,888,890,892,894,896,898,900,902,904,906,908,910,912,914,916,918,920,922,924,926,928,930,932,934,936,938,940,942,944,946,948,950,952,954,956,958,960,962,964,966,968,970,972,974,976,978,980,982,984,986,988,990,992,994,996,998,1000,1002,1004,1006,1008,1010,1012,1014,1016,1018,1020,1022,1024,1026,1028,1030,1032,1034,1036,1038,1040,1042,1044,1046,1048,1050,1052,1055,1057,1059,1061,1063,1066,1068,1070,1072,1074,1076,1078,1080,1082,1084,1086,1088,1090,1093,1095,1097,1099,1101,1103,1105,1107,1109,1111,1113,1115,1117,1119,1121,1123,1125,1127,1129,1131,1133,1135,1137,1139,1141,1143,1145,1147,1149,1151,1153,1155,1157,1159,1161,1163,1165,1167,1169,1171,1173,1175,1177,1179,1181,1183,1185,1187,1189,1191,1193,1195,1197,1199,1201,1203,1205,1207,1209,1211,1213,1215,1217,1219,1221,1223,1225,1227,1229,1231,1233,1235,1237,1239,1241,1243,1245,1247,1249,1251,1253,1255,1257,1259,1261,1263,1265,1267,1269,1271,1273,1275,1277,1279,1281,1283,1285,1287,1289,1291,1293,1295,1297,1299,1301,1303,1305,1307,1309,1311,1313,1315,1317,1319,1321,1323,1325,1327,1329,1331,1333,1335,1337,1339,1341,1343,1345,1347,1349,1351,1353,1355,1357,1359,1361,1363,1365,1367,1369,1371,1373,1375,1377,1379,1381,1383,1385,1387,1389,1391,1393,1395,1397,1399,1401,1403,1405,1407,1409,1411,1413,1415,1418,1420,1422,1424,1426,1428,1430,1432,1434,1436,1438,1440,1442,1444,1446,1448,1450,1452,1454,1456,1458,1460,1462,1464,1466,1468,1470,1472,1474,1476,1478,1480,1482,1484,1486,1488,1490,1492,1494,1496,1498,1500,1502,1504,1506,1508,1510,1512,1514,1516,1518,1520,1522,1524,1526,1528,1530,1532,1534,1536,1538,1540,1542,1544,1546,1548,1550,1552,1554,1556,1558,1560,1562,1564,1566,1568,1570,1572,1574,1576,1578,1580,1582,1584,1586,1588,1590,1592,1594,1596,1598,1600,1602,1604,1606,1608,1610,1612,1614,1616,1619,1621,1623,1625,1627,1629,1631,1633,1635,1637,1639,1641,1643,1645,1647,1649,1651,1653,1655,1657,1659,1661,1663,1665,1667,1669,1671,1673,1675,1677,1679,1681,1683,1685,1687,1689,1691,1693,1695,1697,1699,1701,1703,1705,1707,1709,1711,1713,1715,1717,1719,1721,1723,1725,1727,1729,1731,1733,1735,1737,1739,1741,1743,1745,1747,1749,1751,1753,1755,1758,1760,1762,1764,1766,1768,1770,1772,1774,1776,1778,1780,1782,1784,1786,1788,1790,1792,1794,1796,1798,1800,1802,1804,1806,1808,1810,1812,1814,1816,1818,1820,1822,1824,1826,1828,1830,1832,1834,1836,1838,1840,1842,1844,1846,1848,1850,1852,1854,1856,1858,1860,1862,1864,1866,1868,1870,1872,1874,1876,1878,1880,1882,1884,1886,1888,1890,1892,1894,1896,1898,1900,1902,1904,1906,1908,1910,1912,1914,1917,1919,1921,1923,1925,1927,1929,1931,1933,1935,1937,1939,1941,1943,1945,1947,1949,1951,1953,1955,1957,1959,1961,1963,1965,1967,1969,1971,1973,1975,1977,1980,1982,1984,1986,1988,1990,1992,1994,1996,1998,2000,2002,2004,2006,2008,2010,2012,2014,2016,2018,2020,2022,2024,2026,2028,2030,2032,2034,2036,2038,2040,2042,2044,2046,2048,2050,2052,2054,2056,2058,2060,2062,2064,2066,2068,2070,2072,2074,2076,2078,2080,2082,2084,2086,2088,2090,2092,2094,2096,2098,2100,2102,2104,2106,2108,2110,2112,2114,2116,2118,2120,2122,2124,2126,2128,2130,2132,2134,2136,2138,2140,2142,2144,2146,2148,2150,2152,2154,2156,2158,2160,2162,2164,2166,2168,2170,2172,2174,2176,2178,2180,2182,2184,2186,2188,2190,2192,2194,2196,2198,2200,2202,2204,2206,2208,2210,2212,2214,2216,2218,2220,2222,2224,2226,2228,2230,2232,2234,2236,2238,2240,2242,2244,2246,2248,2250,2252,2254,2256,2258,2260,2262,2264,2266,2268,2270,2272,2274,2276,2278,2280,2282,2284,2286,2288,2290,2292,2294,2296,2298,2300,2302,2304,2306,2308,2310,2312,2314,2316,2318,2320,2322,2324,2326,2328,2330,2332,2334,2336,2338,2340,2342,2344,2346,2348,2350,2352,2354,2356,2358,2360,2362,2364,2366,2368,2370,2372,2374,2376,2378,2380,2382,2384,2386,2388,2390,2392,2394,2396,2398,2400,2402,2404,2406,2408,2410,2412,2414,2416,2418,2421,2423,2425,2427,2429,2431,2433,24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Pair it with DatasetBundleMaterializer inheriting BaseMaterializer: save() stores X.npy, y.npy, and meta.json with feature_names\u002Fstats; load() reconstructs from files; extract_metadata() computes n_samples, n_features, class_distribution (e.g., {0: 357, 1: 212}). This auto-logs queryable metadata to artifacts, ensuring domain objects serialize seamlessly without pickling issues, while supporting ZenML's reproducibility.",[17,7268,7270],{"id":7269},"modular-steps-log-hyperparameters-and-metrics-at-every-stage","Modular Steps Log Hyperparameters and Metrics at Every Stage",[22,7272,7273,7274,7278],{},"Use @step(enable_cache=True) for load_data() returning Annotated",[7275,7276,7277],"span",{},"DatasetBundle, \"raw_dataset\"",". split_and_scale() performs stratified train_test_split (default test_size=0.2), StandardScaler fit\u002Ftransform, logs train_size\u002Ftest_size via log_metadata(). train_candidate() supports model_type=\"random_forest\"|\"gradient_boosting\"|\"logistic\" with n_estimators=100, max_depth=5 defaults, fits on X_train\u002Fy_train, logs model_type\u002Fhyperparameters. evaluate_candidate() computes accuracy, f1, roc_auc on X_test\u002Fy_test (using predict_proba if available), logs all metrics with label. These steps cache outputs, track lineage, and expose metadata for debugging\u002Fproduction monitoring.",[17,7280,7282],{"id":7281},"fan-out-hpo-and-fan-in-selection-promote-best-model","Fan-Out HPO and Fan-In Selection Promote Best Model",[22,7284,7285,7286,7290,7291,7294],{},"SEARCH_SPACE defines 4 configs: {\"model_type\": \"random_forest\", \"n_estimators\": 50\u002F200, \"max_depth\": 3\u002F7}, {\"gradient_boosting\": 100\u002F3}, {\"logistic\":1\u002F1}. @pipeline(model=PRODUCTION_MODEL) training_pipeline() fans out: load_data → split_and_scale → loop over train_candidate(id=f\"train_",[7287,7288,7289],"em",{"i":250},"\") and evaluate_candidate(id=f\"eval","\", label=f\"{type}(n={n},d={d})\"). Fan-in via select_best(): picks max ROC AUC index, logs winning_metrics\u002Fchosen_candidate to model metadata, returns production_model to versioned breast_cancer_classifier (tags=",[7275,7292,7293],{},"\"tutorial\",\"advanced\"","). Generates 8 step runs (4 train+4 eval), automates promotion via Model control plane.",[17,7296,7298],{"id":7297},"client-api-ensures-inspection-caching-and-zero-recompute-reruns","Client API Ensures Inspection, Caching, and Zero-Recompute Reruns",[22,7300,7301],{},"Post-run, Client().get_pipeline_run() shows status, step counts (e.g., 9 steps), aggregated metadata. get_model_version(\"latest\") reveals version.number, linked artifacts, run_metadata (e.g., chosen_candidate). Reload prod_model = get_artifact_version(\"production_model\").load(), verify accuracy_score on stored X_test\u002Fy_test. raw_dataset metadata includes n_samples=569, n_features=30, class_distribution. Rerun hits cache (enable_cache=True), skips recompute. list_pipeline_runs(), list_model_versions(), list_artifact_versions() enable querying; full notebook at GitHub confirms 100% reproducibility without redundant work.",{"title":250,"searchDepth":251,"depth":251,"links":7303},[7304,7305,7306,7307],{"id":7262,"depth":251,"text":7263},{"id":7269,"depth":251,"text":7270},{"id":7281,"depth":251,"text":7282},{"id":7297,"depth":251,"text":7298},[257],{"content_references":7310,"triage":7323},[7311,7314,7319],{"type":264,"title":7312,"url":7313,"context":267},"ZenML","https:\u002F\u002Fgithub.com\u002Fzenml-io\u002Fzenml",{"type":7315,"title":7316,"url":7317,"context":7318},"other","zenml_advanced_end_to_end_pipeline_Marktechpost.ipynb","https:\u002F\u002Fgithub.com\u002FMarktechpost\u002FAI-Agents-Projects-Tutorials\u002Fblob\u002Fmain\u002FML%20Project%20Codes\u002Fzenml_advanced_end_to_end_pipeline_Marktechpost.ipynb","recommended",{"type":7320,"title":7321,"author":7322,"context":267},"dataset","breast_cancer","sklearn.datasets",{"relevance":7324,"novelty":269,"quality":269,"actionability":7324,"composite":7325,"reasoning":7326},5,4.55,"Category: AI Automation. The article provides a detailed guide on building production-grade ML pipelines using ZenML, addressing practical aspects like custom materializers and hyperparameter optimization, which are crucial for the target audience. It includes specific steps and code examples that the audience can directly implement in their projects.","\u002Fsummaries\u002F56100a2f235e4ed4-production-ml-pipelines-with-zenml-custom-material-summary","2026-05-04 22:11:37","2026-05-05 16:09:56",{"title":7252,"description":250},{"loc":7327},"56100a2f235e4ed4","MarkTechPost","https:\u002F\u002Fwww.marktechpost.com\u002F2026\u002F05\u002F04\u002Fhow-to-build-an-end-to-end-production-grade-machine-learning-pipeline-with-zenml-including-custom-materializers-metadata-tracking-and-hyperparameter-optimization\u002F","summaries\u002F56100a2f235e4ed4-production-ml-pipelines-with-zenml-custom-material-summary",[7337,285,286,287],"machine-learning","ZenML enables end-to-end ML pipelines with custom DatasetBundle materializers for metadata-rich serialization, fan-out over 4 hyperparameter configs for RandomForest\u002FGradientBoosting\u002FLogisticRegression, fan-in best-model selection by ROC AUC, full artifact tracking, and cache-driven reproducibility on breast cancer dataset.",[],"_jyeZef15FOC-726KyxSOjynaY54SFmoVQfVvb811WU",{"id":7342,"title":7343,"ai":7344,"body":7349,"categories":7602,"created_at":258,"date_modified":258,"description":250,"extension":259,"faq":258,"featured":260,"kicker_label":258,"meta":7603,"navigation":273,"path":7616,"published_at":7617,"question":258,"scraped_at":7618,"seo":7619,"sitemap":7620,"source_id":7621,"source_name":7622,"source_type":281,"source_url":7623,"stem":7624,"tags":7625,"thumbnail_url":258,"tldr":7627,"tweet":258,"unknown_tags":7628,"__hash__":7629},"summaries\u002Fsummaries\u002F90a024f8fc9fd261-automate-weekly-pdf-reports-with-python-etl-pipeli-summary.md","Automate Weekly PDF Reports with Python ETL Pipeline",{"provider":7,"model":8,"input_tokens":7345,"output_tokens":7346,"processing_time_ms":7347,"cost_usd":7348},8933,2254,17256,0.00289095,{"type":14,"value":7350,"toc":7597},[7351,7355,7358,7416,7431,7447,7457,7460,7464,7467,7512,7515,7518,7521,7525,7528,7531,7587,7590,7593],[17,7352,7354],{"id":7353},"merge-raw-datasets-into-actionable-business-data","Merge Raw Datasets into Actionable Business Data",[22,7356,7357],{},"Start by loading six Olist e-commerce CSVs (orders, customers, items, payments, products, reviews) with pandas.read_csv, then merge on keys like customer_id, order_id, product_id:",[7359,7360,7363],"pre",{"className":7361,"code":7362,"language":285,"meta":250,"style":250},"language-python shiki shiki-themes github-light github-dark","def load_data():\n    return {\n        \"orders\": pd.read_csv(\"data\u002Folist_orders_dataset.csv\"),\n        # ... other datasets\n    }\n\ndf = data[\"orders\"].merge(data[\"customers\"], on=\"customer_id\", how=\"left\") \\\n    .merge(data[\"items\"], on=\"order_id\", how=\"left\") \\\n    # ... other merges\n",[26,7364,7365,7372,7377,7382,7387,7392,7398,7404,7410],{"__ignoreMap":250},[7275,7366,7369],{"class":7367,"line":7368},"line",1,[7275,7370,7371],{},"def load_data():\n",[7275,7373,7374],{"class":7367,"line":251},[7275,7375,7376],{},"    return {\n",[7275,7378,7379],{"class":7367,"line":270},[7275,7380,7381],{},"        \"orders\": pd.read_csv(\"data\u002Folist_orders_dataset.csv\"),\n",[7275,7383,7384],{"class":7367,"line":269},[7275,7385,7386],{},"        # ... other datasets\n",[7275,7388,7389],{"class":7367,"line":7324},[7275,7390,7391],{},"    }\n",[7275,7393,7395],{"class":7367,"line":7394},6,[7275,7396,7397],{"emptyLinePlaceholder":273},"\n",[7275,7399,7401],{"class":7367,"line":7400},7,[7275,7402,7403],{},"df = data[\"orders\"].merge(data[\"customers\"], on=\"customer_id\", how=\"left\") \\\n",[7275,7405,7407],{"class":7367,"line":7406},8,[7275,7408,7409],{},"    .merge(data[\"items\"], on=\"order_id\", how=\"left\") \\\n",[7275,7411,7413],{"class":7367,"line":7412},9,[7275,7414,7415],{},"    # ... other merges\n",[22,7417,7418,7419,7422,7423,7426,7427,7430],{},"Convert timestamps to datetime for time-based calcs: df",[7275,7420,7421],{},"\"order_purchase_timestamp\""," = pd.to_datetime(...). Compute delivery delays as (delivered - estimated).dt.days > 0 for is_delayed. Derive revenue = price + freight_value, profit = price - freight_value. Aggregate metrics like revenue_current = df",[7275,7424,7425],{},"\"revenue\"",".sum(), orders_current = df",[7275,7428,7429],{},"\"order_id\"",".nunique(), AOV = revenue \u002F orders.",[22,7432,7433,7434,7437,7438,7440,7441,7437,7444,7446],{},"Group by month for trends: monthly = df.groupby(\"month\").agg({\"revenue\": \"sum\", \"order_id\": \"nunique\"}); monthly",[7275,7435,7436],{},"\"growth\""," = monthly",[7275,7439,7425],{},".pct_change() * 100; monthly",[7275,7442,7443],{},"\"moving_avg\"",[7275,7445,7425],{},".rolling(3).mean().",[22,7448,7449,7450,7456],{},"Simulate weekly reporting with cutoff: df_sim = df",[7275,7451,7452,7453,7455],{},"df",[7275,7454,7421],{}," \u003C= cutoff_date",", advancing cutoff_date = start_date + pd.Timedelta(days=7 * run_count) via state.txt to mimic live cycles without reprocessing all history.",[22,7458,7459],{},"This standardization ensures consistent metric definitions across runs, turning scattered CSVs into a unified view of who bought what, payment amounts, delivery times, and satisfaction.",[17,7461,7463],{"id":7462},"add-rule-based-insights-and-build-pdf-reports","Add Rule-Based Insights and Build PDF Reports",[22,7465,7466],{},"Metrics alone fail without context—use simple if-conditions to interpret:",[7359,7468,7470],{"className":7361,"code":7469,"language":285,"meta":250,"style":250},"def generate_insights(metrics):\n    insights = []\n    if metrics[\"profit_current\"] \u003C metrics[\"revenue_current\"]:\n        insights.append(\"Revenue growing but profit margin thin, high logistics costs.\")\n    growth_volatility = metrics[\"monthly\"][\"growth\"].std()\n    if growth_volatility > 50:\n        insights.append(\"Revenue growth highly volatile, unstable performance.\")\n    # ...\n",[26,7471,7472,7477,7482,7487,7492,7497,7502,7507],{"__ignoreMap":250},[7275,7473,7474],{"class":7367,"line":7368},[7275,7475,7476],{},"def generate_insights(metrics):\n",[7275,7478,7479],{"class":7367,"line":251},[7275,7480,7481],{},"    insights = []\n",[7275,7483,7484],{"class":7367,"line":270},[7275,7485,7486],{},"    if metrics[\"profit_current\"] \u003C metrics[\"revenue_current\"]:\n",[7275,7488,7489],{"class":7367,"line":269},[7275,7490,7491],{},"        insights.append(\"Revenue growing but profit margin thin, high logistics costs.\")\n",[7275,7493,7494],{"class":7367,"line":7324},[7275,7495,7496],{},"    growth_volatility = metrics[\"monthly\"][\"growth\"].std()\n",[7275,7498,7499],{"class":7367,"line":7394},[7275,7500,7501],{},"    if growth_volatility > 50:\n",[7275,7503,7504],{"class":7367,"line":7400},[7275,7505,7506],{},"        insights.append(\"Revenue growth highly volatile, unstable performance.\")\n",[7275,7508,7509],{"class":7367,"line":7406},[7275,7510,7511],{},"    # ...\n",[22,7513,7514],{},"Generate PDF with ReportLab: create executive summary (e.g., 2018 revenue \u003C 2017, orders down, AOV stable, 9.36% delay rate, 3.91 avg review score), KPI trends (Jan 2018 revenue\u002Fprofit >600% over 2017 but slowing; AOV 2-14% lower, driven by transaction volume), top products (relogios_presentes\u002Fbeleza_saude ~510K revenue each), delivery (SE state 33% delays, casa_conforto_2 60%; overall -10.76 avg delay days = early deliveries), payments (credit card 75%, boleto 19.1%), reviews (5-stars dominant, avg 3.91).",[22,7516,7517],{},"Key patterns: thin margins from costs; volatile growth; new-customer reliance; delays hurt scores; SP top region; credit users spend more.",[22,7519,7520],{},"Code charts with matplotlib (plt.savefig(\"revenue_chart.png\")), insert via Image(width=450,height=220), tables via Table(table_data). Central pipeline: data → transform → metrics → insights → generate_report().",[17,7522,7524],{"id":7523},"schedule-email-delivery-with-github-actions","Schedule Email Delivery with GitHub Actions",[22,7526,7527],{},"Automate email: use smtplib.SMTP_SSL('smtp.gmail.com',465), login via os.getenv(\"EMAIL_SENDER\u002FPASSWORD\"), attach PDF, dynamic subject. Secure creds in GitHub Secrets (EMAIL_SENDER, EMAIL_PASSWORD, EMAIL_RECEIVER).",[22,7529,7530],{},"Deploy via .github\u002Fworkflows\u002Fauto-report.yml:",[7359,7532,7536],{"className":7533,"code":7534,"language":7535,"meta":250,"style":250},"language-yaml shiki shiki-themes github-light github-dark","on:\n  schedule:\n    - cron: '0 1 * * 1'  # Mondays 1AM UTC\njobs:\n  # setup env, pip install, run main.py\n","yaml",[26,7537,7538,7548,7556,7575,7582],{"__ignoreMap":250},[7275,7539,7540,7544],{"class":7367,"line":7368},[7275,7541,7543],{"class":7542},"sj4cs","on",[7275,7545,7547],{"class":7546},"sVt8B",":\n",[7275,7549,7550,7554],{"class":7367,"line":251},[7275,7551,7553],{"class":7552},"s9eBZ","  schedule",[7275,7555,7547],{"class":7546},[7275,7557,7558,7561,7564,7567,7571],{"class":7367,"line":270},[7275,7559,7560],{"class":7546},"    - ",[7275,7562,7563],{"class":7552},"cron",[7275,7565,7566],{"class":7546},": ",[7275,7568,7570],{"class":7569},"sZZnC","'0 1 * * 1'",[7275,7572,7574],{"class":7573},"sJ8bj","  # Mondays 1AM UTC\n",[7275,7576,7577,7580],{"class":7367,"line":269},[7275,7578,7579],{"class":7552},"jobs",[7275,7581,7547],{"class":7546},[7275,7583,7584],{"class":7367,"line":7324},[7275,7585,7586],{"class":7573},"  # setup env, pip install, run main.py\n",[22,7588,7589],{},"Triggers workflow: installs deps, executes pipeline (advances run_count), generates\u002Fsends report. No local runs—wake to delivered emails. Full loop: cron → ETL → PDF → email → state update for next cutoff.",[22,7591,7592],{},"Trade-offs: Relies on GitHub free tier (2k min\u002Fmonth); Gmail app passwords needed; rule-insights basic (extend with ML if needed). Scales to live data sources by swapping CSVs for APIs\u002FDBs.",[7594,7595,7596],"style",{},"html .default .shiki span {color: var(--shiki-default);background: var(--shiki-default-bg);font-style: var(--shiki-default-font-style);font-weight: var(--shiki-default-font-weight);text-decoration: var(--shiki-default-text-decoration);}html .shiki span {color: var(--shiki-default);background: var(--shiki-default-bg);font-style: var(--shiki-default-font-style);font-weight: var(--shiki-default-font-weight);text-decoration: var(--shiki-default-text-decoration);}html .dark .shiki span {color: var(--shiki-dark);background: var(--shiki-dark-bg);font-style: var(--shiki-dark-font-style);font-weight: var(--shiki-dark-font-weight);text-decoration: var(--shiki-dark-text-decoration);}html.dark .shiki span {color: var(--shiki-dark);background: var(--shiki-dark-bg);font-style: var(--shiki-dark-font-style);font-weight: var(--shiki-dark-font-weight);text-decoration: var(--shiki-dark-text-decoration);}html pre.shiki code .sj4cs, html code.shiki .sj4cs{--shiki-default:#005CC5;--shiki-dark:#79B8FF}html pre.shiki code .sVt8B, html code.shiki .sVt8B{--shiki-default:#24292E;--shiki-dark:#E1E4E8}html pre.shiki code .s9eBZ, html code.shiki .s9eBZ{--shiki-default:#22863A;--shiki-dark:#85E89D}html pre.shiki code .sZZnC, html code.shiki .sZZnC{--shiki-default:#032F62;--shiki-dark:#9ECBFF}html pre.shiki code .sJ8bj, html code.shiki .sJ8bj{--shiki-default:#6A737D;--shiki-dark:#6A737D}",{"title":250,"searchDepth":251,"depth":251,"links":7598},[7599,7600,7601],{"id":7353,"depth":251,"text":7354},{"id":7462,"depth":251,"text":7463},{"id":7523,"depth":251,"text":7524},[257],{"content_references":7604,"triage":7613},[7605,7609],{"type":7320,"title":7606,"author":7607,"url":7608,"context":267},"Brazilian Ecommerce Public Dataset by Olist","Olist","https:\u002F\u002Fwww.kaggle.com\u002Fdatasets\u002Folistbr\u002Fbrazilian-ecommerce",{"type":7315,"title":7610,"author":7611,"url":7612,"context":7318},"Weekly-Business-Report-Automation","jihanKamilah","https:\u002F\u002Fgithub.com\u002FjihanKamilah\u002FWeekly-Business-Report-Automation\u002F",{"relevance":7324,"novelty":270,"quality":269,"actionability":7324,"composite":7614,"reasoning":7615},4.35,"Category: AI Automation. The article provides a detailed guide on automating weekly reports using a Python ETL pipeline, which directly addresses the audience's need for practical automation solutions. It includes specific code examples and actionable steps, making it highly relevant and immediately applicable for those building AI-powered products.","\u002Fsummaries\u002F90a024f8fc9fd261-automate-weekly-pdf-reports-with-python-etl-pipeli-summary","2026-04-21 13:31:02","2026-04-21 15:26:14",{"title":7343,"description":250},{"loc":7616},"90a024f8fc9fd261","Learning Data","https:\u002F\u002Fmedium.com\u002Flearning-data\u002Fi-was-tired-of-weekly-reports-so-i-automated-the-entire-thing-f63f88de59ce?source=rss----eec44e936bf1---4","summaries\u002F90a024f8fc9fd261-automate-weekly-pdf-reports-with-python-etl-pipeli-summary",[285,287,286,7626],"data-visualization","Load\u002Fmerge e-commerce datasets, compute revenue\u002Fprofit\u002FAOV\u002Fgrowth metrics, generate PDF with matplotlib\u002FReportLab charts and rule-based insights, email via smtplib, schedule weekly via GitHub Actions cron.",[],"ui9FcZ6uGNS1FckDV1aa-U2QNtxJCoCeuihBdEY63jo",{"id":7631,"title":7632,"ai":7633,"body":7639,"categories":7691,"created_at":258,"date_modified":258,"description":250,"extension":259,"faq":258,"featured":260,"kicker_label":258,"meta":7692,"navigation":273,"path":7696,"published_at":7697,"question":258,"scraped_at":7698,"seo":7699,"sitemap":7700,"source_id":7701,"source_name":7243,"source_type":281,"source_url":7702,"stem":7703,"tags":7704,"thumbnail_url":258,"tldr":7706,"tweet":258,"unknown_tags":7707,"__hash__":7708},"summaries\u002Fsummaries\u002Fe336974a63f54c70-building-a-python-intelligence-layer-for-automated-summary.md","Building a Python Intelligence Layer for Automated Signal Detection",{"provider":7,"model":7634,"input_tokens":7635,"output_tokens":7636,"processing_time_ms":7637,"cost_usd":7638},"google\u002Fgemini-3.1-flash-lite",3948,441,2691,0.0016485,{"type":14,"value":7640,"toc":7687},[7641,7645,7648,7652,7655,7684],[17,7642,7644],{"id":7643},"the-shift-from-data-collection-to-signal-intelligence","The Shift from Data Collection to Signal Intelligence",[22,7646,7647],{},"Many automation projects fail to deliver value because they focus exclusively on data ingestion. The author highlights that collecting thousands of records daily creates a bottleneck where manual analysis becomes impossible. The core problem is not access to information, but the lack of a mechanism to transform raw data into actionable business decisions. To solve this, the author developed an 'Intelligence Layer' that sits between raw data storage and the end-user, designed to identify patterns and surface opportunities automatically.",[17,7649,7651],{"id":7650},"architecture-for-scalable-analysis","Architecture for Scalable Analysis",[22,7653,7654],{},"The system relies on four pillars to bridge the gap between scraping and insight:",[7656,7657,7658,7666,7672,7678],"ul",{},[7659,7660,7661,7665],"li",{},[7662,7663,7664],"strong",{},"Async Processing:"," By utilizing asynchronous programming, the system handles high-volume data ingestion without blocking operations, ensuring that the pipeline remains performant as the volume of scraped data grows.",[7659,7667,7668,7671],{},[7662,7669,7670],{},"Automated Pattern Recognition:"," Instead of relying on static queries, the system employs AI-driven analysis to scan incoming datasets for anomalies or trends that indicate market shifts or competitor movements.",[7659,7673,7674,7677],{},[7662,7675,7676],{},"Signal Detection:"," The intelligence layer is configured to filter out noise, surfacing only high-confidence signals that require human intervention or automated action.",[7659,7679,7680,7683],{},[7662,7681,7682],{},"Scalable Storage:"," The architecture is designed to handle increasing data loads while maintaining the ability to query historical trends, allowing the system to learn from past data to improve future signal detection.",[22,7685,7686],{},"By moving the logic from manual review to an automated pipeline, the system allows builders to identify market opportunities before competitors, effectively turning a passive data repository into an active competitive advantage.",{"title":250,"searchDepth":251,"depth":251,"links":7688},[7689,7690],{"id":7643,"depth":251,"text":7644},{"id":7650,"depth":251,"text":7651},[307],{"content_references":7693,"triage":7694},[],{"relevance":7324,"novelty":269,"quality":269,"actionability":269,"composite":7614,"reasoning":7695},"Category: AI Automation. The article provides a detailed framework for building an intelligence layer that automates signal detection from web data, addressing a key pain point of transforming raw data into actionable insights. It offers specific architectural components like async processing and automated pattern recognition, making it actionable for developers looking to implement similar solutions.","\u002Fsummaries\u002Fe336974a63f54c70-building-a-python-intelligence-layer-for-automated-summary","2026-06-22 14:32:40","2026-06-23 12:56:51",{"title":7632,"description":250},{"loc":7696},"e336974a63f54c70","https:\u002F\u002Fpython.plainenglish.io\u002Fi-built-a-python-intelligence-layer-that-turned-random-web-data-into-actionable-business-signals-5d88e67b2820?source=rss----78073def27b8---4","summaries\u002Fe336974a63f54c70-building-a-python-intelligence-layer-for-automated-summary",[285,287,7705,286],"ai-tools","Moving beyond simple data collection, this intelligence layer uses async processing and AI to transform raw web data into actionable business signals, automating the transition from information to decision-making.",[],"T2Q2H-PtjgjkKOUaClSvGn2zTxCLfL4IBTRrazgizWE"]