I am trying to create a program that downloads a JSON file and I’m trying to convert it to sqlite.

Why?:

  • I believe the training data on Deepdanbooru is weak compaired to Rule34 or Gelbooru. I have tried compiling the C# for linux, but I decided it was too hard.

I am a mainly a Web developer who uses basic JS/HTML/CSS. These don’t help as I need it to be in C. (Not ++/#). I have tried using AI to assist, but no matter what language I use (Python, Ruby, Java, C), It will fail.

Here is the closest I gotten ( 〔〕 --> ><:

#include 〔stdio.h〕
#include 〔stdlib.h〕
#include 〔string.h〕
#include 〔curl/curl.h〕
#include "cJSON.h"
#include "sqlite3.h"

#define URL "https://danbooru.donmai.us/posts.json?page=1&amp;limit=1000&amp;tags=duck&amp;json=1"

#define DB_NAME "data.db"

static int callback(void *NotUsed, int argc, char **argv, char **azColName) {
    int i;
    for (i = 0; i &lt; argc; i++) {
        printf("%s = %s\n", azColName[i], argv[i] ? argv[i] : "NULL");
    }
    printf("\n");
    return 0;
}

int main() {
    CURL *curl;
    CURLcode res;
    FILE *fp;
    char *url = URL;
    char outfilename[FILENAME_MAX] = "data.json";
    curl = curl_easy_init();
    if (curl) {
        fp = fopen(outfilename, "wb");
        curl_easy_setopt(curl, CURLOPT_URL, url);
        curl_easy_setopt(curl, CURLOPT_FOLLOWLOCATION, 1L);
        curl_easy_setopt(curl, CURLOPT_USERAGENT, "Mozilla/4.0 (compatible; MSIE 5.01; Windows NT 5.0)");
        curl_easy_setopt(curl, CURLOPT_WRITEFUNCTION, NULL);
        curl_easy_setopt(curl, CURLOPT_WRITEDATA, fp);
        res = curl_easy_perform(curl);
        curl_easy_cleanup(curl);
        fclose(fp);
    }
    sqlite3 *db;
    char *err_msg = 0;
    int rc = sqlite3_open(DB_NAME, &amp;db);
    if (rc != SQLITE_OK) {
        fprintf(stderr, "Cannot open database: %s\n", sqlite3_errmsg(db));
        sqlite3_close(db);
        return 1;
    }
    char *sql = "CREATE TABLE data (id INT PRIMARY KEY NOT NULL, md5 TEXT NOT NULL, tag_string TEXT NOT NULL, tag_count_general INT NOT NULL);";
    if (rc != SQLITE_OK) {
        fprintf(stderr, "SQL error: %s\n", err_msg);
        sqlite3_free(err_msg);
        sqlite3_close(db);
        return 1;
    }
    cJSON *json;
    cJSON *item;
    cJSON *id;
    cJSON *md5;
    cJSON *tag_string;
    cJSON *tag_count_general;
    char buffer[1024];
    fp = fopen("data.json", "r");
    fread(buffer, 1024, 1, fp);
    fclose(fp);
    json = cJSON_Parse(buffer);
    if (!json) {
        printf("Error before: [%s]\n", cJSON_GetErrorPtr());
        return 1;
    }
    cJSON_ArrayForEach(item, json) {
        id = cJSON_GetObjectItem(item, "id");
        md5 = cJSON_GetObjectItem(item, "md5");
        tag_string = cJSON_GetObjectItem(item, "tag_string");
        tag_count_general = cJSON_GetObjectItem(item, "tag_count_general");
        char insert_query[1024];
        sprintf(insert_query,
                "INSERT INTO data (id, md5, tag_string, tag_count_general) VALUES (%d,'%s','%s',%d);",
                id->valueint,
                md5->valuestring,
                tag_string->valuestring,
                tag_count_general->valueint
               );
        rc = sqlite3_exec(db, insert_query, callback, 0, &amp;err_msg);
        if (rc != SQLITE_OK) {
            fprintf(stderr, "SQL error: %s\n", err_msg);
            sqlite3_free(err_msg);
            sqlite3_close(db);
            return 1;
        }
    }
}

Compile: gcc cJSON.c file.c -lcurl -lsqlite3

Error: Error before: [tag_count_co]

@Spider89@lemm.ee
creator
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11Y

Really? That was the issue.

I wanted to learn C after having an Adruino (and making neat programs), but seeing what fread does, that is a nightmare.

Well, Python is my friend now.

Thanks.

Max-P
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51Y

seeing what fread does, that is a nightmare.

It’s really not all that bad considering that you’re pretty close to talking directly to the kernel. The C language itself is pretty simple: it doesn’t come with any built-in functions or anything. It’s code, it gets compiled to a binary. But we need a way to talk to the operating system, and that’s where the C standard library or libc comes in. It contains a standard set of operating system utilities and functions that you can expect most operating systems to implement. The C standard library is pretty old, from an era when a megabyte of RAM was a lot of RAM and where every CPU cycle counted. So it doesn’t do a whole lot: it’s supposed to be the building block for everything, it needs to be fast and flexible and as small as possible.

What you want is nicer C libraries that makes those things easier to work with. Or to write a function whenever you encounter something repetitive, in this case it’s probably 20-25 lines to properly implement the necessary malloc, fopen and fread then you’re done with it forever. Copy paste it in your next project, or make yourself a library of C gadgets you accumulate over time.

If you’re looking for an experience close to C but a little more batteries included, you might want to consider C++ which does still get new modern features to it. Most C code is valid C++ code, it’s not like learning an entirely new language. Reading a whole file for example is a lot more straightforward (source):

std::ifstream t("file.txt"); // input file stream of "file.txt"
std::stringstream buffer; // a buffer for an arbitrarily long string
buffer << t.rdbuf(); // send everything from the read buffer of the file into the string buffer

You can, however, appreciate how close you’re working with the hardware and kernel, just like the Arduino: the interface with the kernel (on Linux) to read a file is basically:

  • Program: “please read up to N bytes at address X for this file descriptor”
  • Kernel: puts N bytes at X “here’s how many bytes I was able to get for you”

That’s the whole, unabridged thing. From your perspective, you made a syscall and the data magically appeared in your memory. The kernel has no idea what your intentions are, you just ask it to read stuff and it gives it to you. If you misplace it or tell it to read too much or not enough, it doesn’t know, it obliges. If you want to read the whole file, it’s your job to keep asking the kernel for more, just how the kernel will ask the hard drive for more. That’s exactly what read(fd, buffer, bufsize) does, nothing more, nothing less. It’s the smallest unit of work you can ask, and it’s efficient. The data possibly went straight from your NVMe to the memory of your program. Copied exactly once.

And this is why fread is the way it is, as are most libc things. Interestingly, even that has become too inefficient, and now we have things like io_uring, that’s even more complicated to use but really really fast.

It’s a whole rabbit hole and that’s why we use libraries and avoid using those too much.

Well, Python is my friend now.

The Python read() function, which is basically the same as fread() also accepts a length parameter and 1024 is a sensible number to give it.

You can read the entire file in python but you probably shouldn’t do that. In the real world, your software will be given files larger than it can handle and it’s important to have logic in place to process the file incrementally instead of all at once.

Honestly, it’s what makes this particular problem so challenging… the proper way to parse a JSON file is as a “stream” and not by holding the entire string in memory at once unless you can guarantee it’s very small.

It’s definitely possible to write a C program that reads the entire file. You just won’t find many examples of that because it’s a bad idea. What if someone gives you a 30GB file?

You said you used an “AI to assist” but it failed? What were you using? I pasted it into ChatGPT 4 and it found eight problems - including this one. Some of the others are even worse… for example the CREATE TABLE query is literally never executed. Oops.

@Spider89@lemm.ee
creator
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01Y

While true it should stop reading a 30G file, I am the stupid when it come to this and I just need a program running.

The AI I used was Bing AI. It was “Helpful” since I don’t know C at all, but my primitive JS knowledge couldn’t save it.

I know small amount of Python and this is the only time I used AI for assistance. I have to say, the context is there, but needs fixing from time to time.

Streaming JSON parsers are a thing, e.g. pdjson for C. It’s, of course, a different approach and it’s generally slightly trickier to work with those, but that’s what you would use of you have unbound document size and you can process it in chunks.

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