Files
Novodraft/ax3Services/docParserService/docClassifier.js
2026-05-23 17:08:47 -04:00

208 lines
6.0 KiB
JavaScript

//const fs = require("fs");
const { readFile } = require("fs/promises");
const searchRog1 = "interrogatories";
const searchRog2 = "interrogatory";
const searchProduce1 = "produce";
const searchProduce2 = "production";
const searchProduce4 = "production of documents";
const searchProduce5 = "request for production";
const searchProduce6 = "request for produc";
const searchAdmit1 = "admit";
const searchAdmit2 = "admission";
const searchAdmit3 = "admissions";
const total = {
rogs: null,
docProd: null,
admit: null,
combined: null,
};
function includesTest(str, regex) {
return (str.match(regex) || []).length;
}
async function inspectFile(data) {
const searchTermArr = [
"interrogatories",
"interrogatory",
"produce",
"production",
"production of documents",
"request to produce",
"request for production",
"admit",
"admission",
"admissions",
"request to admit",
"request for admissions",
];
/*
Below patterns are Michigan - specific
const regexPattern =
/interrogatories (#?[\sa-z0-9]{0,15}) and requests? for production+\b/g;
const regexPattern1 =
/interrogatories[\sa-z0-9]{0,15}and requests? for production+\b/;
*/
const regexPattern2 =
/interrogatories (#?[\sa-z0-9]{0,15}) and requests? for production+\b/g;
const resultArray = [];
if (data) {
const temp = data.toString();
//const containsPattern = includesTest(temp, regexPattern);
//const containsPattern1 = includesTest(temp, regexPattern1);
const containsPattern2 = includesTest(temp, regexPattern2);
if (
containsPattern2 ||
temp
.toLowerCase()
.includes("interrogatories and request for production") ||
temp
.toLowerCase()
.includes("interrogatories and requests for production") ||
temp.toLowerCase().includes("interrogatories and document requests") ||
temp.toLowerCase().includes("and requests for production of documents") ||
temp.toLowerCase().includes("discovery and inspection") ||
temp.toLowerCase().includes("combined discovery demands") ||
temp.toLowerCase().includes("demand for discovery") ||
temp.toLowerCase().includes("discovery demands") ||
temp.toLowerCase().includes("combined demands")
) {
total.combined = "combined-numbered";
}
}
let lines = await data.split("\n");
searchTermArr.forEach((term) => {
let obj = { searchTerm: "", count: 0 };
obj.searchTerm = term;
lines.forEach(function (line) {
if (line.toLowerCase().indexOf(term) != -1) {
obj.count++;
}
});
resultArray.push(obj);
});
if (total.combined === "combined-numbered") {
return total;
} else {
return resultArray;
}
}
// TODO find the first iteration one in chain - would it be tesseWatcher? maybe py watcher
// major refactor - do after launch
const iterateFilePaths = async (paths) => {
const result = await Promise.all(
paths.map(async (path) => {
fileData = await readFile(path, "utf8");
resultArrOrObj = await inspectFile(fileData);
return resultArrOrObj;
})
);
return result;
};
async function classifyDoc(sortedPaths) {
const master = [
{ searchTerm: "interrogatories", count: 0 },
{ searchTerm: "interrogatory", count: 0 },
{ searchTerm: "produce", count: 0 },
{ searchTerm: "production", count: 0 },
{ searchTerm: "production of documents", count: 0 },
{ searchTerm: "request to produce", count: 0 },
{ searchTerm: "request for production", count: 0 },
{ searchTerm: "admit", count: 0 },
{ searchTerm: "admission", count: 0 },
{ searchTerm: "admissions", count: 0 },
{ searchTerm: "interrogatories and request for production", count: 0 },
{ searchTerm: "interrogatories and requests for production", count: 0 },
{ searchTerm: "interrogatories and requests for production", count: 0 },
];
const result = {
rogs: null,
docProd: null,
admit: null,
};
const termOccuranceCount = await iterateFilePaths(sortedPaths);
const foundObj = termOccuranceCount.find(
(item) => item.combined === "combined-numbered"
);
if (foundObj) {
//pass
}
let interrogatories = 0;
let interrogatory = 0;
let produce = 0;
let production = 0;
let admit = 0;
let admission = 0;
let admissions = 0;
let rogAndProd = 0;
let rogAndProd2 = 0;
let rogAndProd3 = 0;
let rogAndProd4 = 0;
if (!foundObj) {
termOccuranceCount.forEach((array) => {
array.forEach((obj) => {
if (obj.searchTerm === "interrogatories") {
interrogatories = interrogatories + obj.count;
} else if (obj.searchTerm === "interrogatory") {
interrogatory = interrogatory + obj.count;
} else if (obj.searchTerm === "produce") {
produce = produce + obj.count;
} else if (obj.searchTerm === "production") {
production = production + obj.count;
} else if (obj.searchTerm === "production of documents") {
production = production + obj.count;
} else if (obj.searchTerm === "request to produce") {
production = production + obj.count;
} else if (obj.searchTerm === "request for production") {
production = production + obj.count;
} else if (obj.searchTerm === "admit") {
admit = admit + obj.count;
} else if (obj.searchTerm === "admission") {
admission = admission + obj.count;
} else if (obj.searchTerm === "admissions") {
admissions = admissions + obj.count;
} else if (obj.searchTerm === "request to admit") {
admissions = admissions + obj.count;
} else if (obj.searchTerm === "request for admissions") {
admissions = admissions + obj.count;
}
});
});
}
result.rogs = interrogatories + interrogatory;
result.docProd = produce + production;
result.admit = admit + admission + admissions;
result.combined = false;
if (foundObj) {
return foundObj;
} else {
return result;
}
}
module.exports = {
classifyDoc,
};