def get_results_from_unique(name_, type_):
    # result = fetch_single_unique(name=name_, type=type_)
    query = create_item_query(name=name_, type=type_)

    fetch_ids, unsplit_queries = recurse_fetch_query_with_query_divider(
        query, [generate_by_ilvl, generate_by_price])

    return fetch_results(fetch_ids)
Exemple #2
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def get_results_from_unique(name_, type_):
    result = fetch_single_unique(name=name_, type=type_)


    query = create_item_query(name=name_, type=type_, price_low=0, price_high=150 * 50)

    fetch_ids, unsplit_queries = recurse_fetch_query_with_query_divider(
        query, [partial(generate_by_roll_ranges, result=result), generate_by_ilvl, generate_by_price]
    )
    
    return fetch_results(fetch_ids)
def fetch_all_corrupt_uniques():

    stripped_name = f"""./data/skin_of_the_lords"""

    try:
        query = create_item_query(name="Skin of the Lords",
                                  type="Simple Robe",
                                  corrupted=False)

        fetch_ids, unsplit_queries = recurse_fetch_query_with_query_divider(
            query, [generate_by_ilvl, generate_by_price])

        results = fetch_results(fetch_ids)

        results_jsonl(results, stripped_name)
        # parse_results_to_csv(stripped_name)
    except Exception as e:
        traceback.print_exc()
        print(e)
Exemple #4
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                     type="Great Crown",
                     identified=True),
    affix_type="explicit",
    exclude_affixes=[attr_mod],
    use_added_filter_for_speed=False,
)

for mod in tqdm(mods):
    results_entry = {"mod_str": str(mod), "mod_json": json.dumps(mod.json())}
    mod_stat_filters = StatFilters(filters=mod.to_query_stat_filters())
    fetch_ids, total, query = search_query(
        OfficialApiQuery(
            name="Forbidden Shako",
            type="Great Crown",
            identified=True,
            corrupted=False,
            enchanted=False,
            indexed="2week",
            stat_filters=[mod_stat_filters],
        ).json())
    print(mod, total)
    results = fetch_results(fetch_ids)

    for idx, result in enumerate(results):
        parsed_result = OfficialApiResult(result)
        results_entry[f"price_{idx}"] = estimate_price_in_chaos(
            parsed_result.price)

    results_df = results_df.append(results_entry, ignore_index=True)
results_df.to_csv(f"data/forbidden_shako.csv")
Exemple #5
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def fetch_single_unique(name, type):
    query = create_item_query(name=name, type=type, price_low=0, price_high=150 * 150)
    fetch_ids, total, query = fetch_query(query)
    first_fetch_id = [fetch_ids[0]]
    results = fetch_results(first_fetch_id)
    return results[0]
def fetch_single_unique(name, type):
    query = create_item_query(name=name, type=type)
    fetch_ids, total, query = search_query(query)
    first_fetch_id = [fetch_ids[0]]
    results = fetch_results(first_fetch_id)
    return results[0]