repo stringclasses 454
values | file_path stringlengths 5 201 | extension stringclasses 1
value | content stringlengths 8 509k | num_lines int64 3 16.9k | size_bytes int64 8 511k |
|---|---|---|---|---|---|
Open-Assistant | model/model_training/tests/test_patched_gpt_neox.py | .py | import torch
from model_training.models.patching import patch_model
from transformers import AutoModelForCausalLM, AutoTokenizer, GPTNeoXModel
def test_flash_attention_patch(dtype=torch.float16, device="cuda"):
tokenizer = AutoTokenizer.from_pretrained("EleutherAI/pythia-70m-deduped")
tokenizer.add_special_to... | 94 | 4,017 |
Open-Assistant | model/model_training/tests/test_rm_loading.py | .py | from argparse import Namespace
import model_training.models.reward_model # noqa: F401
from model_training.models.reward_model import GPTNeoXRewardModel
from model_training.utils.utils import get_tokenizer
from transformers import AutoModelForSequenceClassification, AutoTokenizer
def test_convert_model(
model_na... | 41 | 1,668 |
Open-Assistant | model/model_training/tests/test_oasst_dataset.py | .py | from argparse import Namespace
import pytest
from model_training.custom_datasets import get_one_dataset
@pytest.mark.skip(reason="cache not populated")
def test_load_oasst_export_dataset():
config = Namespace(
cache_dir=".cache",
)
kwargs = {
"lang": "en,es,de,fr",
"top_k": 2,
... | 20 | 544 |
Open-Assistant | model/model_training/tests/test_patched_falcon.py | .py | import torch
from model_training.models.patching import patch_model
from transformers import AutoTokenizer
from transformers.models.falcon.modeling_falcon import FalconForCausalLM
def test_flash_attention_falcon_patch(device="cuda:0"):
model_name = "tiiuae/falcon-7b"
dtype = torch.bfloat16
tokenizer = Au... | 35 | 1,329 |
Open-Assistant | model/model_training/tests/test_patched_llama.py | .py | import torch
from model_training.models.patching import patch_model
from transformers import AutoModelForCausalLM, AutoTokenizer
def test_flash_attention_patch(dtype=torch.float16, device="cuda:0", llama_path="/mnt/data/llama2/Llama-2-7b"):
tokenizer = AutoTokenizer.from_pretrained(llama_path)
tokenizer.add_s... | 44 | 2,170 |
Open-Assistant | model/model_training/tests/test_datasets.py | .py | from argparse import Namespace
import pytest
from model_training.custom_datasets import QA_DATASETS, SUMMARIZATION_DATASETS, get_one_dataset
from model_training.custom_datasets.dialogue_collator import DialogueDataCollator
from model_training.utils.utils import get_tokenizer
from torch.utils.data import ConcatDataset,... | 86 | 3,412 |
Open-Assistant | model/model_training/tests/test_ranking_collator.py | .py | from argparse import Namespace
import pytest
import torch
from model_training.custom_datasets import get_one_dataset
from model_training.custom_datasets.formatting import (
QA_SPECIAL_TOKENS,
DatasetEntryRm,
Role,
Utterance,
create_dataset_entry_qa,
)
from model_training.custom_datasets.ranking_col... | 246 | 10,737 |
Open-Assistant | model/model_training/tests/test_dialogue_data_collator.py | .py | import pytest
import torch
from model_training.custom_datasets.dialogue_collator import DialogueDataCollator
from model_training.custom_datasets.formatting import QA_SPECIAL_TOKENS, create_dataset_entry_qa
from model_training.utils.utils import match_tokenizer_name
from transformers.models.auto.tokenization_auto import... | 223 | 16,983 |
Open-Assistant | model/model_training/tests/test_formatting.py | .py | import pytest
from model_training.custom_datasets.formatting import QA_SPECIAL_TOKENS, DatasetEntrySft, Role, Utterance
def test_dataset_entry_formatting_missing_lang():
ds_entry = DatasetEntrySft(
conversation=[
Utterance(
text="What is the capital of France?",
... | 88 | 3,131 |
Open-Assistant | model/model_training/tests/test_utils.py | .py | from argparse import Namespace
import pytest
from model_training.utils.utils import TOKENIZER_CONFIGS, get_tokenizer, match_tokenizer_name
def test_tokenizer():
get_tokenizer(Namespace(model_name="Salesforce/codegen-2B-multi", cache_dir=".cache"))
get_tokenizer(Namespace(model_name="facebook/galactica-1.3b",... | 28 | 956 |
Open-Assistant | model/model_training/utils/utils.py | .py | import argparse
import copy
import math
import random
from distutils.util import strtobool
from pathlib import Path
from typing import List, NamedTuple
import evaluate
import torch
import transformers
import yaml
from model_training.custom_datasets import get_one_dataset
from model_training.custom_datasets.formatting ... | 460 | 17,176 |
Open-Assistant | model/model_training/utils/losses.py | .py | import torch
import torch.nn.functional as F
from torch import nn
class CrossEntropyLoss(nn.CrossEntropyLoss):
def __init__(self, weight=None, size_average=None, ignore_index=-100, reduce=None, reduction="mean"):
super().__init__(weight, size_average, ignore_index, reduce, "none")
self._reduction ... | 113 | 4,229 |
Open-Assistant | model/model_training/utils/ppo_utils.py | .py | import json
import math
import os
import warnings
from time import time
from typing import List, Tuple
import numpy as np
import torch
# import torch.distributed as dist
import tritonclient.grpc as client_util
import trlx.utils.logging as logging
from huggingface_hub import hf_hub_download
# from torch import nn
fro... | 642 | 27,806 |
Open-Assistant | model/model_training/utils/utils_rl.py | .py | import tritonclient.grpc as client_util
from tritonclient.utils import np_to_triton_dtype
def prepare_tensor(name: str, input):
t = client_util.InferInput(name, input.shape, np_to_triton_dtype(input.dtype))
t.set_data_from_numpy(input)
return t
| 9 | 259 |
Open-Assistant | model/model_training/custom_datasets/dialogue_collator.py | .py | import random
from dataclasses import dataclass
from typing import Optional, Union
import numpy as np
import torch
from model_training.custom_datasets.formatting import (
QA_SPECIAL_TOKENS,
DatasetEntryLm,
DatasetEntrySft,
format_pairs,
format_system_prefix,
)
from torch.nn import functional as F
f... | 210 | 9,115 |
Open-Assistant | model/model_training/custom_datasets/utils.py | .py | # mostly taken from
# https://huggingface.co/datasets/gozfarb/ShareGPT_Vicuna_unfiltered/blob/main/optional_clean.py,
# https://huggingface.co/datasets/ehartford/WizardLM_alpaca_evol_instruct_70k_unfiltered/blob/main/wizardlm_clean.py
FILTER_BY_WORDS = [
"as a language model",
"as an AI language model",
"As... | 59 | 2,026 |
Open-Assistant | model/model_training/custom_datasets/rank_datasets.py | .py | import random
from collections import defaultdict
from typing import List
import numpy as np
from datasets import load_dataset
from torch.utils.data import Dataset
SEED = 2020
class SHPDataset(Dataset):
"""
Dataset class to load stanfordnlp/SHP for Reward Modeling
"""
name = "SHP"
def __init__... | 246 | 8,684 |
Open-Assistant | model/model_training/custom_datasets/prompt_dialogue.py | .py | import gzip
import json
import re
from pathlib import Path
from typing import List, Mapping, Optional, Sequence, Union
import requests
from datasets import load_dataset
from model_training.custom_datasets.formatting import DatasetEntrySft, Role, Utterance
from model_training.custom_datasets.oasst_dataset import ListDa... | 255 | 9,296 |
Open-Assistant | model/model_training/custom_datasets/qa_datasets.py | .py | """
Open / close book QA datasets
"""
import glob
import json
import os
import random
import re
from collections import defaultdict
from pathlib import Path
from typing import Any
from urllib.request import urlopen
import numpy as np
import requests
from datasets import load_dataset
from model_training.custom_data... | 721 | 27,906 |
Open-Assistant | model/model_training/custom_datasets/pretrain_datasets.py | .py | """
Datasets for LM objective pre-training aimed to prevent catastrophic forgetting during fine-tuning
"""
from pathlib import Path
from typing import Optional
from datasets import load_dataset
from model_training.custom_datasets.formatting import DatasetEntryLm
from torch.utils.data import Dataset
class Pretrain... | 83 | 2,525 |
Open-Assistant | model/model_training/custom_datasets/__init__.py | .py | """
High level functions for model training
"""
from typing import Optional
import numpy as np
from model_training.custom_datasets.extra_rm_datasets import load_anthropic_rlhf, load_hellaswag, load_shp
from model_training.custom_datasets.instruction import (
INSTRUCTION_DATASETS,
RAG_DATASETS,
Instruct... | 205 | 7,718 |
Open-Assistant | model/model_training/custom_datasets/toxic_conversation.py | .py | """
SFT dataset to reject toxic questions
"""
import random
from datasets import load_dataset
from torch.utils.data import Dataset
class ProsocialDialogueExplaination(Dataset):
name = "explain_prosocial"
TEMPLATE = [
# 0 : reply or sentence of interest, 1 : reason of caution
("'{0}' Why ... | 79 | 2,936 |
Open-Assistant | model/model_training/custom_datasets/ranking_collator.py | .py | from dataclasses import dataclass
from typing import Optional, Union
from model_training.custom_datasets.formatting import DatasetEntryRm
from transformers.tokenization_utils_base import BatchEncoding, PaddingStrategy, PreTrainedTokenizerBase
from .formatting import format_pairs, format_reply
@dataclass
class Ranki... | 103 | 3,808 |
Open-Assistant | model/model_training/custom_datasets/instruction.py | .py | """
These are in the form of 'INSTRUCTION', 'RESPONSE'
"""
import random
from typing import Optional
from datasets import load_dataset
from model_training.custom_datasets.formatting import DatasetEntry, create_dataset_entry_qa
from model_training.custom_datasets.utils import _filter_by_words
from torch.utils.data ... | 182 | 6,554 |
Open-Assistant | model/model_training/custom_datasets/summarization.py | .py | """
Summarize different spectrum of documents
"""
import random
import numpy as np
from datasets import load_dataset
from torch.utils.data import Dataset
SUMMARIZATION_SPECIAL_TOKENS = {"Text": "", "Summary": ["TL;DR:", "Summarize this", "Give me the summary"]}
SUMMARY_SPECIAL_PROMPT = {
"multi_news": ["Summ... | 268 | 9,790 |
Open-Assistant | model/model_training/custom_datasets/formatting.py | .py | import re
from enum import Enum
from itertools import zip_longest
from random import random, shuffle
from typing import Literal, Optional
from pydantic import BaseModel, validator
from pydantic.fields import ModelField
QA_SPECIAL_TOKENS = {
"Question": "<|prompter|>",
"Answer": "<|assistant|>",
"System": ... | 268 | 8,883 |
Open-Assistant | model/model_training/custom_datasets/oasst_dataset.py | .py | from pathlib import Path
from typing import Iterable, Literal, Optional
from model_training.custom_datasets.formatting import DatasetEntrySft, Role, Utterance
from oasst_data import ExportMessageNode, read_dataset_message_trees, read_message_trees, visit_threads_depth_first
from oasst_data.schemas import ExportMessage... | 165 | 6,956 |
Open-Assistant | model/model_training/custom_datasets/translation.py | .py | """
List of translation dataset
GroNLP/divemt
fill in the blanks : https://huggingface.co/datasets/m_lama
"""
import random
from datasets import load_dataset
from torch.utils.data import Dataset
# postfix prompt
TRANSLATION_PROMPT = {
"zh": [ # simplified or any chinese which was not mentioned
... | 172 | 6,830 |
Open-Assistant | model/model_training/custom_datasets/extra_rm_datasets.py | .py | from model_training.custom_datasets.rank_datasets import AnthropicRLHF, HellaSwagDataset, SHPDataset
from torch.utils.data import Dataset
def load_anthropic_rlhf() -> tuple[Dataset, Dataset]:
train = AnthropicRLHF(split="train")
validation = AnthropicRLHF(split="test")
return train, validation
def load_... | 21 | 647 |
Open-Assistant | model/model_training/models/reward_model.py | .py | from dataclasses import dataclass
from typing import Literal, Optional
import torch
import torch.nn as nn
from transformers import AutoConfig, AutoModelForSequenceClassification
from transformers.models.gpt_neox.modeling_gpt_neox import GPTNeoXConfig, GPTNeoXModel, GPTNeoXPreTrainedModel
from transformers.utils import... | 99 | 3,275 |
Open-Assistant | model/model_training/models/peft_modeling.py | .py | from dataclasses import dataclass
from pathlib import Path
import torch
from huggingface_hub import hf_hub_download
from model_training.utils.utils import get_all_linear_layers, get_model, get_tokenizer, merge_dicts
from peft import LoraConfig, PeftModel, PrefixTuningConfig, get_peft_model, prepare_model_for_int8_trai... | 119 | 4,386 |
Open-Assistant | model/model_training/models/patching_utils.py | .py | import torch
import torch.nn.functional as F
def compute_flash_attention(flash_attn, q, k, v, attention_mask=None, head_mask=None):
# q, k, v: [bs, seq_len, num_attention_heads, attn_head_size]
# attention_mask (float): [bs, seq_len]
batch_size, max_len = q.size(0), q.size(1)
qkv = torch.stack([q, k,... | 64 | 2,684 |
Open-Assistant | model/model_training/models/__init__.py | .py | import transformers
def freeze_top_n_layers(model, target_layers):
# its possible we can simply detect which module is a ModuleList
# and simply freeze the module without doing string parsing
for name, param in model.named_parameters():
if "embed" in name:
param.requires_grad = False
... | 48 | 1,881 |
Open-Assistant | model/model_training/models/rope.py | .py | import torch
# rotary pos emb helpers (torch.jit.script does not seem to support staticmethod...)
def rotate_half(x):
x1, x2 = x[..., : x.shape[-1] // 2], x[..., x.shape[-1] // 2 :]
return torch.cat((-x2, x1), dim=-1)
class RWNTKScaledRope(torch.nn.Module):
"""
NTK-Scaled RoPE for RefinedWebModel
... | 65 | 2,234 |
Open-Assistant | model/model_training/models/patching_llama.py | .py | import math
import warnings
from typing import Optional, Tuple
import torch
import torch.nn as nn
import torch.nn.functional as F
from transformers.models.llama.modeling_llama import LlamaAttention, apply_rotary_pos_emb, repeat_kv
from .patching_utils import compute_flash_attention
# adapted from https://github.com... | 127 | 5,856 |
Open-Assistant | model/model_training/models/patching.py | .py | from __future__ import annotations # To make it not choke over FlashSelfAttention
import warnings
from functools import partial
from typing import Callable, Optional
import torch.nn as nn
import transformers
from transformers import (
AutoConfig,
FalconForCausalLM,
FalconModel,
GPTNeoXForCausalLM,
... | 255 | 9,902 |
Open-Assistant | model/model_training/models/patching_falcon.py | .py | from typing import Optional, Tuple
import torch
import torch.nn as nn
from .patching_utils import compute_flash_attention
def falcon_forward_with_flash_attn(
self,
flash_attn: nn.Module, # flash_attn.modules.mha.FlashSelfAttention
hidden_states: torch.Tensor,
alibi: Optional[torch.Tensor],
atte... | 79 | 3,210 |
Open-Assistant | model/model_training/models/gptj.py | .py | # Taken from https://github.com/sleekmike/Finetune_GPT-J_6B_8-bit/blob/master/gpt-j-6b-8-bit.py
import torch
import torch.nn.functional as F
import transformers
from bitsandbytes.functional import dequantize_blockwise, quantize_blockwise
from torch import nn
from torch.cuda.amp import custom_bwd, custom_fwd
from trans... | 188 | 7,258 |
Open-Assistant | model/model_training/models/patching_neox.py | .py | import torch
import torch.nn as nn
import transformers
from .patching_utils import compute_flash_attention
def neox_forward_with_flash_attn(
self: transformers.models.gpt_neox.modeling_gpt_neox.GPTNeoXAttention,
flash_attn: nn.Module, # flash_attn.modules.mha.FlashSelfAttention
query: torch.Tensor,
... | 29 | 1,008 |
Open-Assistant | model/model_training/models/prefix_llama.py | .py | # Copyright 2022 EleutherAI and the HuggingFace Inc. team. All rights reserved.
#
# This code is based on EleutherAI's GPT-NeoX library and the GPT-NeoX
# and OPT implementations in this library. It has been modified from its
# original forms to accommodate minor architectural differences compared
# to GPT-NeoX and OPT... | 959 | 43,271 |
Open-Assistant | scripts/data-collection/twitter/twitter_process_json.py | .py | # This file loops through compressed json tweet data, pre-processes them,
# and then extracts them into more unified parquet files that can be handed
# off for further processing. The main focus is on producing viable replies.
# Initial data exploration seems that there is no guarantee that the original
# tweets are i... | 230 | 7,903 |
Open-Assistant | scripts/data-collection/twitter/twitter_create_convs.py | .py | import json
from pathlib import Path
import polars as pl
from tqdm import tqdm
# Sets up paths
# TODO: Source paths from env file
path_string = "PUT THE PATH HERE TO WHERE YOU STORED THE PARQUET FILES"
folder_path = Path(path_string)
processed_folder_path = folder_path / "processed"
output_path = folder_path / "twitt... | 140 | 4,729 |
Open-Assistant | scripts/postprocessing/ranking_disagreement.py | .py | from collections import defaultdict
import numpy as np
import pandas as pd
import psycopg2
from rankings import ranked_pairs
from scipy.stats import kendalltau
# source: wikipedia ;)
# but here without the normalization
def normalised_kendall_tau_distance(values1, values2):
"""Compute the Kendall tau distance.""... | 124 | 5,254 |
Open-Assistant | scripts/postprocessing/scoring.py | .py | from dataclasses import dataclass, replace
from typing import Any
import numpy as np
import numpy.typing as npt
from scipy.stats import kendalltau
@dataclass
class Voter:
"""
Represents a single voter.
This tabulates the number of good votes, total votes,
and points.
We only put well-behaved peop... | 185 | 7,606 |
Open-Assistant | scripts/postprocessing/rankings.py | .py | from typing import List
import numpy as np
def head_to_head_votes(ranks: List[List[int]]):
tallies = np.zeros((len(ranks[0]), len(ranks[0])))
names = sorted(ranks[0])
ranks = np.array(ranks)
# we want the sorted indices
ranks = np.argsort(ranks, axis=1)
for i in range(ranks.shape[1]):
... | 165 | 6,399 |
Open-Assistant | scripts/postprocessing/regex_pii_detector.py | .py | import re
# Adapted from
# https://www.geeksforgeeks.org/how-to-validate-ssn-social-security-number-using-regular-expression/
# https://docs.opswat.com/mdcore/proactive-dlp/sample-regular-expressions
# https://github.com/m4ll0k/SecretFinder/blob/master/BurpSuite-SecretFinder/SecretFinder.py
regex_patterns = {
"go... | 102 | 5,691 |
Open-Assistant | scripts/postprocessing/task_schedule.py | .py | from enum import Enum
import numpy as np
from scipy import optimize
class Task(Enum):
RANKING = 0
ANSWER = 1
PROMPT = 2
VOTE = 3
def task_selection(
num_ranking_tasks: int, current_prompts: int, target_num_prompts: int, p: float, answers_per_prompt: int
) -> Task:
"""
This computes whic... | 76 | 3,208 |
Open-Assistant | scripts/postprocessing/importance_selection.py | .py | import logging
import warnings
import numpy as np
import pandas as pd
import psycopg2
from scipy.optimize import LinearConstraint, minimize
from scipy.sparse import coo_array, csr_array, csr_matrix, hstack
from scipy.special import softmax
from tqdm import trange
from tqdm.contrib.logging import logging_redirect_tqdm
... | 324 | 12,272 |
Open-Assistant | scripts/postprocessing/infogain_selector.py | .py | import numpy as np
from scipy.special import gammaln, psi
from scipy.stats import dirichlet
'''
Legacy numerical solution.
Should not be used as it is probably broken
def make_range(*x):
"""
constructs leftover values for the simplex given the first k entries
(0,x_k) = 1-(x_1+...+x_(k-1))
"""
ret... | 99 | 2,907 |
Open-Assistant | scripts/data_augment/data_augment.py | .py | """Script for a variety of data augmentation techniques for generating Question answer pairs.
Depending on the class used it takes in the input files and generates summaries from essays (which then will result in a "write a story about [summary]"-> essay pair),#
buggs code (in order to have bugged code + "please fix" -... | 516 | 17,945 |
Open-Assistant | scripts/discord/stats.py | .py | #!/usr/bin/env python3
"""This file is for moderators to verify new users in the lobby.
First, moderators read the brief introduction people write in the lobby.
If all people's introductions are acceptable, moderators run this script.
Needs BOT_TOKEN environment variable to be set to the bot token.
"""
import dis... | 43 | 1,010 |
Open-Assistant | scripts/discord/verify-lobby.py | .py | #!/usr/bin/env python3
"""This file is for moderators to verify new users in the lobby.
First, moderators read the brief introduction people write in the lobby.
If all people's introductions are acceptable, moderators run this script.
Needs BOT_TOKEN environment variable to be set to the bot token.
"""
import dis... | 54 | 1,546 |
Open-Assistant | scripts/xor-codec/xor_codec.py | .py | import gzip
import os
import shutil
import sys
from pathlib import Path
import numpy
def xor_uncompressed(dst, src_payload, src_base, block_size=4096):
fp_payload = open(src_payload, "rb")
fp_base = open(src_base, "rb")
with open(dst, "wb") as fp:
while True:
buf1 = numpy.array(bytear... | 101 | 3,579 |
Open-Assistant | scripts/frontend-development/find-missing-locales.py | .py | import sys
from collections import defaultdict
from glob import glob
from json import load
from os import path
ALL_PATH = "../../website/public/locales/**/*.json"
DIR = path.dirname(__file__)
EN_PATH = "../../website/public/locales/en/*.json"
def get_not_translated(en_json, translation_json, parent_key=None):
no... | 61 | 2,250 |
Open-Assistant | discord-bots/oa-bot-py/message_templates.py | .py | """Message templates for the discord bot."""
import typing
import jinja2
from loguru import logger
class MessageTemplates:
"""Create message templates for the discord bot."""
def __init__(self, template_dir: str = "./templates"):
self.env = jinja2.Environment( # noqa: S701
loader=jinja2... | 23 | 688 |
Open-Assistant | discord-bots/oa-bot-py/bot/utils.py | .py | """Utility functions."""
import typing as t
from datetime import datetime
import hikari
def format_time(dt: datetime, fmt: t.Literal["t", "T", "D", "f", "F", "R"]) -> str:
"""Format a datetime object into the discord time format.
```
| t | HH:MM | 16:20
| T | HH:MM:SS | 16:20:11
... | 41 | 1,054 |
Open-Assistant | discord-bots/oa-bot-py/bot/bot.py | .py | """Bot logic."""
from datetime import datetime
import aiosqlite
import hikari
import lightbulb
import miru
from bot.settings import Settings
from bot.utils import mention
from oasst_shared.api_client import OasstApiClient
settings = Settings()
# TODO: Revisit cache settings
bot = lightbulb.BotApp(
token=settings... | 130 | 4,978 |
Open-Assistant | discord-bots/oa-bot-py/bot/__main__.py | .py | """Entry point for the bot."""
import logging
import os
from bot.bot import bot
from hikari.presences import Activity, ActivityType, Status
logger = logging.getLogger(__name__)
if __name__ == "__main__":
if os.name != "nt":
import uvloop
uvloop.install()
logger.info("Starting bot")
bot.... | 25 | 496 |
Open-Assistant | discord-bots/oa-bot-py/bot/messages.py | .py | """All user-facing messages and embeds.
When sending a conversation
- The function will return a list of strings
- use asyncio.gather to send all messages
-
"""
from datetime import datetime
import hikari
from oasst_shared.schemas import protocol as protocol_schema
NUMBER_EMOJIS = [":one:", ":two:", ":three:",... | 385 | 10,908 |
Open-Assistant | discord-bots/oa-bot-py/bot/settings.py | .py | """Configuration for the bot."""
from pydantic import BaseSettings, Field
class Settings(BaseSettings):
"""Settings for the bot."""
bot_token: str = Field(env="BOT_TOKEN", default="")
declare_global_commands: int = Field(env="DECLARE_GLOBAL_COMMANDS", default=0)
owner_ids: list[int] = Field(env="OWNE... | 18 | 647 |
Open-Assistant | discord-bots/oa-bot-py/bot/extensions/guild_settings.py | .py | """Guild settings."""
import hikari
import lightbulb
from aiosqlite import Connection
from bot.db.schemas import GuildSettings
from bot.utils import mention
from lightbulb.utils import permissions_in
from loguru import logger
plugin = lightbulb.Plugin("GuildSettings")
plugin.add_checks(lightbulb.guild_only)
plugin.add... | 105 | 3,891 |
Open-Assistant | discord-bots/oa-bot-py/bot/extensions/__init__.py | .py | """Extensions for the bot.
See: https://hikari-lightbulb.readthedocs.io/en/latest/guides/extensions.html
"""
| 5 | 110 |
Open-Assistant | discord-bots/oa-bot-py/bot/extensions/hot_reload.py | .py | """Hot reload plugin."""
from glob import glob
import hikari
import lightbulb
from loguru import logger
plugin = lightbulb.Plugin(
"HotReloadPlugin",
)
plugin.add_checks(lightbulb.owner_only)
EXTENSIONS_FOLDER = "bot/extensions"
def _get_extensions() -> list[str]:
# Recursively get all the .py files in the... | 64 | 2,075 |
Open-Assistant | discord-bots/oa-bot-py/bot/extensions/user_input_test.py | .py | """Task plugin for testing different data collection methods."""
# TODO: Delete this once user input method has been decided for final bot.
import asyncio
import typing as t
from datetime import datetime, timedelta
import hikari
import lightbulb
import lightbulb.decorators
import miru
from bot.utils import format_time... | 301 | 10,516 |
Open-Assistant | discord-bots/oa-bot-py/bot/extensions/text_labels.py | .py | """Hot reload plugin."""
import typing as t
from datetime import datetime
import hikari
import lightbulb
import miru
from aiosqlite import Connection
from bot.db.schemas import GuildSettings
from loguru import logger
plugin = lightbulb.Plugin(
"TextLabels",
)
plugin.add_checks(lightbulb.guild_only) # Context men... | 180 | 6,176 |
Open-Assistant | discord-bots/oa-bot-py/bot/extensions/help.py | .py | """Custom help command."""
import lightbulb
from bot.messages import help_message, tutorial_message
from bot.settings import Settings
from hikari.permissions import Permissions
from lightbulb.utils import permissions_for
plugin = lightbulb.Plugin("HelpPlugin")
settings = Settings()
@plugin.command
@lightbulb.comman... | 44 | 1,415 |
Open-Assistant | discord-bots/oa-bot-py/bot/extensions/work.py | .py | """Work plugin for collecting user data."""
import asyncio
import typing as t
from uuid import UUID
import hikari
import lightbulb
import lightbulb.decorators
import miru
from aiosqlite import Connection
from bot.messages import (
assistant_reply_messages,
confirm_label_response_message,
confirm_ranking_re... | 511 | 20,187 |
Open-Assistant | discord-bots/oa-bot-py/bot/db/schemas.py | .py | """Database schemas."""
import typing as t
from aiosqlite import Connection, Row
from pydantic import BaseModel
class GuildSettings(BaseModel):
"""Guild settings."""
guild_id: int
log_channel_id: int | None
@classmethod
def parse_obj(cls, obj: Row) -> "GuildSettings":
"""Deserialize a R... | 28 | 824 |
Open-Assistant | inference/server/main.py | .py | import asyncio
import math
import signal
import sys
import fastapi
import redis.asyncio as redis
import sqlmodel
from fastapi.middleware.cors import CORSMiddleware
from fastapi_limiter import FastAPILimiter
from loguru import logger
from oasst_inference_server import database, deps, models, plugins
from oasst_inferenc... | 151 | 5,276 |
Open-Assistant | inference/server/export.py | .py | """Script to facilitate exporting chat data from the server database."""
import argparse
import asyncio
import contextlib
import datetime as dt
import gzip
import json
import sys
from collections import defaultdict
from pathlib import Path
from typing import Any, TextIO
import sqlalchemy
import sqlmodel
from fastapi.... | 301 | 9,181 |
Open-Assistant | inference/server/oasst_inference_server/user_chat_repository.py | .py | import fastapi
import pydantic
import sqlalchemy.orm
import sqlmodel
from loguru import logger
from oasst_inference_server import database, models
from oasst_inference_server.settings import settings
from oasst_shared.schemas import inference
class UserChatRepository(pydantic.BaseModel):
"""Wrapper around a datab... | 333 | 14,148 |
Open-Assistant | inference/server/oasst_inference_server/admin.py | .py | """Logic related to admin actions."""
import fastapi
from loguru import logger
from oasst_inference_server import database, models
from oasst_shared import utils as shared_utils
async def delete_user_from_db(session: database.AsyncSession, user_id: str):
"""Deletes a user."""
logger.info(f"Deleting user {use... | 26 | 788 |
Open-Assistant | inference/server/oasst_inference_server/worker_utils.py | .py | import enum
import uuid
import fastapi
import pydantic
import sqlalchemy.orm
import sqlmodel
from fastapi import Depends
from loguru import logger
from oasst_inference_server import database, deps, models
from oasst_shared.schemas import inference
class WorkerSessionStatus(str, enum.Enum):
waiting = "waiting"
... | 138 | 4,635 |
Open-Assistant | inference/server/oasst_inference_server/queueing.py | .py | import redis.asyncio as redis
from oasst_inference_server.settings import settings
class QueueFullException(Exception):
pass
class RedisQueue:
def __init__(
self,
redis_client: redis.Redis,
queue_id: str,
expire: int | None = None,
with_counter: bool = False,
... | 93 | 3,278 |
Open-Assistant | inference/server/oasst_inference_server/compliance.py | .py | """Logic related to worker compliance checks, which seek to ensure workers do not produce malicious responses."""
import datetime
from typing import cast
import fastapi
import sqlmodel
from loguru import logger
from oasst_inference_server import database, deps, models, worker_utils
from oasst_inference_server.setting... | 167 | 7,586 |
Open-Assistant | inference/server/oasst_inference_server/auth.py | .py | """Logic related to authorization actions."""
import hashlib
import json
from datetime import datetime, timedelta
import sqlmodel
from cryptography.hazmat.primitives import hashes
from cryptography.hazmat.primitives.kdf.hkdf import HKDF
from fastapi import HTTPException, Security
from fastapi.security import APIKeyHe... | 189 | 6,753 |
Open-Assistant | inference/server/oasst_inference_server/chat_utils.py | .py | from oasst_inference_server.settings import settings
from oasst_shared import model_configs
def get_model_config(model_config_name: str) -> model_configs.ModelConfig:
"""Get a `ModelConfig` by its name. See `oasst_shared.model_configs`."""
if settings.allowed_model_config_names != "*":
if model_config... | 17 | 707 |
Open-Assistant | inference/server/oasst_inference_server/deps.py | .py | import contextlib
import fastapi
import redis.asyncio as redis
from fastapi import Depends
from fastapi_limiter.depends import RateLimiter
from oasst_inference_server import auth
from oasst_inference_server.chat_repository import ChatRepository
from oasst_inference_server.database import AsyncSession, get_async_sessio... | 76 | 2,496 |
Open-Assistant | inference/server/oasst_inference_server/database.py | .py | import json
from pathlib import Path
import alembic.command
import alembic.config
import pydantic.json
from loguru import logger
from oasst_inference_server.schemas import chat as chat_schema
from oasst_inference_server.settings import settings
from oasst_shared.schemas import inference
from sqlalchemy.ext.asyncio imp... | 84 | 2,752 |
Open-Assistant | inference/server/oasst_inference_server/settings.py | .py | from typing import Any
import pydantic
def split_keys_string(keys: str | None):
if not keys:
return []
return list(filter(bool, keys.split(",")))
class Settings(pydantic.BaseSettings):
PROJECT_NAME: str = "open-assistant inference server"
redis_host: str = "localhost"
redis_port: int = ... | 132 | 3,608 |
Open-Assistant | inference/server/oasst_inference_server/chat_repository.py | .py | import datetime
import fastapi
import pydantic
import sqlalchemy.orm
import sqlmodel
from loguru import logger
from oasst_inference_server import database, models
from oasst_inference_server.schemas import chat as chat_schema
from oasst_inference_server.settings import settings
from oasst_shared.schemas import inferen... | 119 | 5,254 |
Open-Assistant | inference/server/oasst_inference_server/plugin_utils.py | .py | import asyncio
import json
import aiohttp
import yaml
from aiohttp.client_exceptions import ClientConnectorError, ServerTimeoutError
from fastapi import HTTPException
from loguru import logger
from oasst_shared.schemas import inference
async def attempt_fetch_plugin(session: aiohttp.ClientSession, url: str, timeout:... | 58 | 2,577 |
Open-Assistant | inference/server/oasst_inference_server/schemas/chat.py | .py | import datetime
from typing import Annotated, Literal, Union
import pydantic
from oasst_shared.schemas import inference
class CreatePrompterMessageRequest(pydantic.BaseModel):
parent_id: str | None = None
content: str = pydantic.Field(..., repr=False)
class CreateAssistantMessageRequest(pydantic.BaseModel)... | 127 | 3,398 |
Open-Assistant | inference/server/oasst_inference_server/schemas/auth.py | .py | import json
from base64 import b64decode
import pydantic
from pydantic import validator
class TrustedClient(pydantic.BaseModel):
api_key: str
client: str # "website", "discord", or similar
user_id: str # the id of the user in the data backend
provider_account_id: str # id of the user in the client... | 22 | 522 |
Open-Assistant | inference/server/oasst_inference_server/schemas/worker.py | .py | import pydantic
class CreateWorkerRequest(pydantic.BaseModel):
name: str
trusted: bool = False
class WorkerRead(pydantic.BaseModel):
id: str
name: str
api_key: str
trusted: bool
class Config:
orm_mode = True
| 17 | 249 |
Open-Assistant | inference/server/oasst_inference_server/routes/account.py | .py | import fastapi
from fastapi import Depends
from oasst_inference_server import admin, auth, database, deps
router = fastapi.APIRouter(
prefix="/account",
tags=["account"],
)
@router.delete("/")
async def handle_account_deletion(
user_id: str = Depends(auth.get_current_user_id),
session: database.Async... | 18 | 482 |
Open-Assistant | inference/server/oasst_inference_server/routes/chats.py | .py | import asyncio
import base64
import fastapi
import pydantic
from fastapi import Depends, Query
from loguru import logger
from oasst_inference_server import auth, chat_utils, deps, models, queueing
from oasst_inference_server.schemas import chat as chat_schema
from oasst_inference_server.settings import settings
from o... | 382 | 14,524 |
Open-Assistant | inference/server/oasst_inference_server/routes/admin.py | .py | import fastapi
import sqlmodel
from fastapi import Depends, HTTPException, Security
from loguru import logger
from oasst_inference_server import admin, auth, database, deps, models
from oasst_inference_server.schemas import worker as worker_schema
from oasst_inference_server.settings import settings
router = fastapi.A... | 100 | 3,323 |
Open-Assistant | inference/server/oasst_inference_server/routes/configs.py | .py | import fastapi
import pydantic
from fastapi import HTTPException
from loguru import logger
from oasst_inference_server import plugin_utils
from oasst_inference_server.plugins import plugin_apps
from oasst_inference_server.settings import settings
from oasst_shared import model_configs
from oasst_shared.schemas import i... | 161 | 4,790 |
Open-Assistant | inference/server/oasst_inference_server/routes/auth.py | .py | import fastapi
import sqlmodel
from authlib.integrations.starlette_client import OAuth
from fastapi import Depends, HTTPException, Request, Security
from google.oauth2.credentials import Credentials
from googleapiclient.discovery import build
from loguru import logger
from oasst_inference_server import auth, database, ... | 270 | 9,755 |
Open-Assistant | inference/server/oasst_inference_server/routes/workers.py | .py | import asyncio
import datetime
from typing import cast
import fastapi
import pydantic
import websockets.exceptions
from loguru import logger
from oasst_inference_server import chat_repository, database, deps, models, queueing, worker_utils
from oasst_inference_server.schemas import chat as chat_schema
from oasst_infer... | 448 | 18,594 |
Open-Assistant | inference/server/oasst_inference_server/models/user.py | .py | from uuid import uuid4
import sqlalchemy as sa
from sqlmodel import Field, Index, SQLModel
class DbUser(SQLModel, table=True):
__tablename__ = "user"
__table_args__ = (Index("provider", "provider_account_id", unique=True),)
id: str = Field(default_factory=lambda: str(uuid4()), primary_key=True)
pro... | 27 | 850 |
Open-Assistant | inference/server/oasst_inference_server/models/__init__.py | .py | from .chat import DbChat, DbMessage, DbMessageEval, DbReport
from .user import DbRefreshToken, DbUser
from .worker import DbWorker, DbWorkerComplianceCheck, DbWorkerEvent, WorkerEventType
__all__ = [
"DbChat",
"DbMessage",
"DbMessageEval",
"DbReport",
"DbRefreshToken",
"DbUser",
"DbWorker",... | 17 | 398 |
Open-Assistant | inference/server/oasst_inference_server/models/chat.py | .py | import datetime
import sqlalchemy as sa
import sqlalchemy.dialects.postgresql as pg
from oasst_inference_server.schemas import chat as chat_schema
from oasst_shared.schemas import inference
from sqlmodel import Field, Relationship, SQLModel
from uuid_extensions import uuid7str
class DbMessage(SQLModel, table=True):
... | 141 | 5,292 |
Open-Assistant | inference/server/oasst_inference_server/models/worker.py | .py | import datetime
import enum
from uuid import uuid4
import sqlalchemy as sa
import sqlalchemy.dialects.postgresql as pg
from loguru import logger
from oasst_inference_server.settings import settings
from oasst_shared.schemas import inference
from sqlmodel import Field, Relationship, SQLModel
from uuid_extensions import... | 66 | 2,569 |
Open-Assistant | inference/server/oasst_inference_server/plugins/__init__.py | .py | from oasst_inference_server.plugins.gale_pleaser.main import app as gale_pleaser
from oasst_inference_server.plugins.gale_roaster.main import app as gale_roaster
from oasst_inference_server.plugins.web_retriever.main import app as web_retriever
# dict of registered plugins
# The key defines a plugin's path which will ... | 12 | 496 |
Open-Assistant | inference/server/oasst_inference_server/plugins/gale_pleaser/main.py | .py | import json
from pathlib import Path
from fastapi import FastAPI, Query, Request, Response
from fastapi.middleware.cors import CORSMiddleware
from fastapi.openapi.utils import get_openapi
from loguru import logger
folder_path = Path(__file__).parent
app = FastAPI()
app.add_middleware(
CORSMiddleware,
allow_... | 85 | 2,965 |
Open-Assistant | inference/server/oasst_inference_server/plugins/web_retriever/main.py | .py | import codecs
import io
import json
import re
from pathlib import Path
import aiohttp
import PyPDF2
import yaml
from bs4 import BeautifulSoup
from fastapi import FastAPI, Query, Request, Response
from fastapi.middleware.cors import CORSMiddleware
from fastapi.openapi.utils import get_openapi
from fastapi.responses imp... | 271 | 9,406 |
Open-Assistant | inference/server/oasst_inference_server/plugins/gale_roaster/main.py | .py | import json
from pathlib import Path
from fastapi import FastAPI, Query, Request, Response
from fastapi.middleware.cors import CORSMiddleware
from fastapi.openapi.utils import get_openapi
folder_path = Path(__file__).parent
app = FastAPI()
app.add_middleware(
CORSMiddleware,
allow_origins=["*"],
allow_c... | 68 | 2,150 |
Open-Assistant | inference/server/alembic/env.py | .py | import asyncio
from logging.config import fileConfig
import sqlmodel
from alembic import context
from loguru import logger
from oasst_inference_server import models # noqa: F401
from sqlalchemy import engine_from_config, pool, text
from sqlalchemy.ext.asyncio import AsyncEngine
# this is the Alembic Config object, w... | 100 | 2,962 |
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