✂️ Refactoring

This commit is contained in:
2021-08-02 18:01:44 -07:00
parent 4e448f1f34
commit 97532d71da
3 changed files with 55 additions and 34 deletions

1
.gitignore vendored
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@@ -66,3 +66,4 @@ typings/
# Don't track transpiled files
dist/
.vscode
userdata

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@@ -1,8 +1,12 @@
"use strict";
import { createWriteStream } from "fs";
import path from "path";
import https from "https";
import { Service, ServiceBroker, Context } from "moleculer";
import axios from "axios";
import {matchScorer} from "../utils/searchmatchscorer.utils";
import leven from "leven";
import { matchScorer } from "../utils/searchmatchscorer.utils";
const CV_BASE_URL = "https://comicvine.gamespot.com/api/";
const CV_API_KEY = "a5fa0663683df8145a85d694b5da4b87e1c92c69";
@@ -32,6 +36,13 @@ export default class GreeterService extends Service {
limit: string;
offset: string;
resources: string;
scorerData: {
searchQuery: {
issue: object;
series: object;
};
rawFileDetails: object;
};
}>
): Promise<any> => {
const response = await axios.request({
@@ -41,24 +52,20 @@ export default class GreeterService extends Service {
"?api_key=" +
CV_API_KEY,
params: ctx.params,
transformResponse: r => JSON.parse(r),
transformResponse: r => {
const matches = JSON.parse(r);
return matchScorer(
matches.results,
ctx.params.scorerData.searchQuery,
ctx.params.scorerData.rawFileDetails
);
},
headers: { Accept: "application/json" },
});
const { data } = response;
return data;
},
},
getScoredComicVineMatches: {
rest: "/getscoredcomicvinematches",
params: {},
handler: async (
ctx: Context<{
}>
): Promise<any> => {
return matchScorer()
},
},
},
});
}

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@@ -35,12 +35,12 @@ import { createWriteStream } from "fs";
import path from "path";
import https from "https";
import stringSimilarity from "string-similarity";
import { each, map, isUndefined, isNull, assign } from "lodash";
import { each, isNil, isNull, isUndefined } from "lodash";
import leven from "leven";
const imghash = require("imghash");
export const matchScorer = (searchMatches, searchQuery, rawFileDetails) => {
export const matchScorer = (searchMatches: any , searchQuery: any, rawFileDetails: any) => {
// 1. Check if it exists in the db (score: 0)
// 2. Check if issue name matches strongly (score: ++)
// 3. Check if issue number matches strongly (score: ++)
@@ -48,11 +48,12 @@ export const matchScorer = (searchMatches, searchQuery, rawFileDetails) => {
// 5. Check if issue year matches strongly (score: +)
each(searchMatches, (match, idx) => {
match.score = 0;
// Check for the issue name match
if (
!isNull(searchQuery.issue.searchParams.searchTerms.name) &&
!isNull(match.name)
!isNil(searchQuery.issue.searchParams.searchTerms.name) &&
!isNil(match.name)
) {
const issueNameScore = stringSimilarity.compareTwoStrings(
searchQuery.issue.searchParams.searchTerms.name,
@@ -63,8 +64,8 @@ export const matchScorer = (searchMatches, searchQuery, rawFileDetails) => {
// Issue number matches
if (
!isNull(searchQuery.issue.searchParams.searchTerms.number) &&
!isNull(match.issue_number)
!isNil(searchQuery.issue.searchParams.searchTerms.number) &&
!isNil(match.issue_number)
) {
if (
parseInt(
@@ -76,27 +77,39 @@ export const matchScorer = (searchMatches, searchQuery, rawFileDetails) => {
}
}
// Cover image hash match
const fileName = match.id + "_" + rawFileDetails.name;
https.get(match.image.small_url, response => {
const fileStream = response.pipe(
createWriteStream(`./userdata/temporary/${fileName}`)
);
const fileName = match.id + "_" + rawFileDetails.name + ".jpg";
const file = createWriteStream(`./userdata/temporary/${fileName}`);
https.get(match.image.small_url, (response) => {
const fileStream = response.pipe(file);
fileStream.on("finish", async () => {
const hash1 = await imghash.hash(fileName);
const hash1 = await imghash.hash(
path.resolve(rawFileDetails.path)
);
const hash2 = await imghash.hash(
path.resolve(`./userdata/temporary/${fileName}`)
);
const levenshteinDistance = leven(hash1, hash2);
if (levenshteinDistance === 0) {
match.score += 4;
} else {
match.score -= 4;
}
});
});
if (!isUndefined(hash1) && !isUndefined(hash2)) {
const levenshteinDistance = leven(hash1, hash2);
if (levenshteinDistance === 0) {
match.score += 4;
} else if(levenshteinDistance > 0 && levenshteinDistance <= 2){
match.score += 2;
} else {
match.score -= 4;
}
} else {
console.log("Couldn't calculate image hashes");
}
console.log("MATCH SCORE inside:", match.score);
return match;
});
}).end();
console.log("MATCH SCORE OUTSIDE:", match.score)
});
return searchMatches;
};