Add main.cpp, Makefile and channelsToTreat.txt

Note that running this algorithm end up with channel [`UC-99odscxh1xxTyxHyXuRrg`](https://www.youtube.com/channel/UC-99odscxh1xxTyxHyXuRrg) and more precisely the video [`Tq5aPNzfYcg`](https://www.youtube.com/watch?v=Tq5aPNzfYcg) and more precisely the comment [`Ugx-TlSq6SNCbOX04mx4AaABAg`](https://www.youtube.com/watch?v=Tq5aPNzfYcg&lc=Ugx-TlSq6SNCbOX04mx4AaABAg) [which doesn't have any author](https://yt.lemnoslife.com/noKey/comments?part=snippet&id=Ugx-TlSq6SNCbOX04mx4AaABAg)...
This commit is contained in:
Benjamin Loison 2022-12-22 05:20:32 +01:00
parent 53acda6abe
commit 2ffc1d0e5d
Signed by: Benjamin_Loison
SSH Key Fingerprint: SHA256:BtnEgYTlHdOg1u+RmYcDE0mnfz1rhv5dSbQ2gyxW8B8
4 changed files with 184 additions and 2 deletions

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Makefile Normal file
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.PHONY: main
main:
g++ main.cpp -g -lcurl -o main

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@ -5,7 +5,15 @@ For a given channel, there are two ways to list comments users published on it:
2. A simpler approach consists in using YouTube Data API v3 CommentThreads: list endpoint with `allThreadsRelatedToChannelId`. The main upside of this method, in addition to be simpler, is that for channels with many videos we spare much time by working 100 comments at a time instead of a video at a time with possibly not a single comment. Note that this approach doesn't list all videos etc so we don't retrieve some information. Note that this approach doesn't work for some channels that have comments enabled on some videos but not the whole channels. 2. A simpler approach consists in using YouTube Data API v3 CommentThreads: list endpoint with `allThreadsRelatedToChannelId`. The main upside of this method, in addition to be simpler, is that for channels with many videos we spare much time by working 100 comments at a time instead of a video at a time with possibly not a single comment. Note that this approach doesn't list all videos etc so we don't retrieve some information. Note that this approach doesn't work for some channels that have comments enabled on some videos but not the whole channels.
So when possible we will proceed with 2. and use 1. as a fallback approach. So when possible we will proceed with 2. and use 1. as a fallback approach.
We can multi-thread this process by channel or we can multi-thread per videos of a given channel. We can multi-thread this process by channel or we can multi-thread per videos of a given channel (loosing optimization of CommentThreads: list with `allThreadsRelatedToChannelId`). In any case we shouldn't do something hybrid in terms of multi-threading, as it would be too complex.
As would like to proceed channel per channel, the question is **how much time does it take to retrieve all comments from the biggest YouTube channel? If the answer is a long period of time, then multi-threading per videos of a given channel may make sense.** As would like to proceed channel per channel, the question is **how much time does it take to retrieve all comments from the biggest YouTube channel? If the answer is a long period of time, then multi-threading per videos of a given channel may make sense.** There are two possibilities following our methods:
1. Here the complexity is linear in the number of channel's comments, more precisely this number divided by 100 - we could guess that the channel with the most subscribers ([T-Series](https://www.youtube.com/@tseries)) has the most comments
2. Here the complexity is linear in the number of videos - as far as I know [RoelVandePaar](https://www.youtube.com/@RoelVandePaar) has the most videos, [2,026,566 according to SocialBlade](https://socialblade.com/youtube/c/roelvandepaar). However due to the 20,000 limit of YouTube Data API v3 PlaylistItems: list the actual limit is 20,000 [as far as I know](https://gitea.lemnoslife.com/Benjamin_Loison/YouTube_captions_search_engine/wiki#user-content-concerning-20-000-videos-limit-for-youtube-data-api-v3-playlistitems-list-endpoint).
Have to proceed with a breadth-first search approach as treating all *child* channels might take a time equivalent to treating the whole original tree. Have to proceed with a breadth-first search approach as treating all *child* channels might take a time equivalent to treating the whole original tree.
```sh
sudo apt install nlohmann-json3-dev
make
./main
```

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channelsToTreat.txt Normal file
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UCt5USYpzzMCYhkirVQGHwKQ

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main.cpp Normal file
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#include <iostream>
#include <fstream>
#include <set>
#include <curl/curl.h>
#include <nlohmann/json.hpp>
using namespace std;
using json = nlohmann::json;
vector<string> getFileContent(string filePath);
json getJson(string url);
void print(ostringstream* toPrint),
treatComment(json comment);
string getHttps(string url);
size_t writeCallback(void* contents, size_t size, size_t nmemb, void* userp);
#define API_KEY "AIzaSy..."
// Note that this printing approach is only safe in a mono-thread context.
#define PRINT(x) toPrint << x; print(&toPrint);
ostringstream toPrint;
// TODO: change to `set`s
set<string> channelsToTreat,
channelsAlreadyTreated;
unsigned int commentsCount = 0;
int main()
{
vector<string> channelsToTreatVec = getFileContent("channelsToTreat.txt");
channelsToTreat = set(channelsToTreatVec.begin(), channelsToTreatVec.end());
PRINT(channelsToTreat.size() << " channel(s) to treat")
while(!channelsToTreat.empty())
{
string channelToTreat = *channelsToTreat.begin();
PRINT("Treating channel " << channelToTreat << " (treated: " << channelsAlreadyTreated.size() << ", to treat: " << channelsToTreat.size() << ")")
string pageToken = "";
while(true)
{
json data = getJson("commentThreads?part=snippet,replies&allThreadsRelatedToChannelId=" + channelToTreat + "&maxResults=100&pageToken=" + pageToken);
bool doesRelyingOnCommentThreadsIsEnough = data["error"]["errors"][0]["reason"] != "commentsDisabled";
if(doesRelyingOnCommentThreadsIsEnough)
{
json items = data["items"];
for(const auto& item : items)
{
json comment = item["snippet"]["topLevelComment"];
string commentId = comment["id"];
treatComment(comment);
if(item.contains("replies"))
{
json replies = item["replies"]["comments"];
if(replies.size() >= 5)
{
string pageToken = "";
while(true)
{
json data = getJson("comments?part=snippet&parentId=" + commentId + "&maxResults=100&pageToken=" + pageToken);
json items = data["items"];
for(const auto& item : items)
{
treatComment(item);
}
if(data.contains("nextPageToken"))
{
pageToken = data["nextPageToken"];
}
else
{
break;
}
}
}
else
{
for(const auto& reply : replies)
{
treatComment(reply);
}
}
}
}
if(data.contains("nextPageToken"))
{
pageToken = data["nextPageToken"];
}
else
{
break;
}
}
else
{
PRINT("Comments disabled channel!")
exit(1);
}
}
PRINT(commentsCount)
commentsCount = 0;
channelsToTreat.erase(channelToTreat);
channelsAlreadyTreated.insert(channelToTreat);
}
return 0;
}
void treatComment(json comment)
{
PRINT("id: " << comment["id"])
json snippet = comment["snippet"];
PRINT("snippet: " << snippet)
if(snippet.contains("videoId"))
PRINT("videoId: " << snippet["videoId"])
json authorChannelId = snippet["authorChannelId"];
PRINT("authorChannelId: " << authorChannelId)
string channelId = comment["snippet"]["authorChannelId"]["value"];
PRINT("channelId: " << channelId)
commentsCount++;
//PRINT(channelId)
if(find(channelsAlreadyTreated.begin(), channelsAlreadyTreated.end(), channelId) == channelsAlreadyTreated.end())
channelsToTreat.insert(channelId);
}
vector<string> getFileContent(string filePath)
{
vector<string> lines;
ifstream infile(filePath.c_str());
string line;
while(getline(infile, line))
lines.push_back(line);
return lines;
}
json getJson(string url)
{
url = "https://www.googleapis.com/youtube/v3/" + url + "&key=" + API_KEY;
string content = getHttps(url);
json data = json::parse(content);
return data;
}
void print(ostringstream* toPrint)
{
cout << toPrint->str() << endl;
toPrint->str("");
}
string getHttps(string url)
{
CURL* curl = curl_easy_init();
string got;
curl_easy_setopt(curl, CURLOPT_URL, url.c_str());
curl_easy_setopt(curl, CURLOPT_SSL_VERIFYPEER, 1);
curl_easy_setopt(curl, CURLOPT_SSL_VERIFYHOST, 1);
curl_easy_setopt(curl, CURLOPT_WRITEFUNCTION, writeCallback);
curl_easy_setopt(curl, CURLOPT_WRITEDATA, &got);
curl_easy_perform(curl);
curl_easy_cleanup(curl);
return got;
}
size_t writeCallback(void* contents, size_t size, size_t nmemb, void* userp)
{
((string*)userp)->append((char*)contents, size * nmemb);
return size * nmemb;
}