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| 1 | +#!/usr/bin/env python |
| 2 | +# -*- coding: utf-8 -*- |
| 3 | +# |
| 4 | +# Copyright 2020 DSR Corporation |
| 5 | +# |
| 6 | +# Licensed under the Apache License, Version 2.0 (the "License"); |
| 7 | +# you may not use this file except in compliance with the License. |
| 8 | +# You may obtain a copy of the License at |
| 9 | +# |
| 10 | +# http://www.apache.org/licenses/LICENSE-2.0 |
| 11 | +# |
| 12 | +# Unless required by applicable law or agreed to in writing, software |
| 13 | +# distributed under the License is distributed on an "AS IS" BASIS, |
| 14 | +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. |
| 15 | +# See the License for the specific language governing permissions and |
| 16 | +# limitations under the License. |
| 17 | + |
| 18 | +import sys |
| 19 | +import os |
| 20 | +import yaml |
| 21 | +import json |
| 22 | +import subprocess |
| 23 | +import tempfile |
| 24 | +from struct import pack |
| 25 | +from pathlib import Path |
| 26 | + |
| 27 | +from render import render |
| 28 | + |
| 29 | + |
| 30 | +DCLCLI = "dclcli" |
| 31 | + |
| 32 | +DEF_ACCOUNT_N_START = 4 |
| 33 | +DEF_SEQUENCE_START = 0 |
| 34 | + |
| 35 | +ACCOUNT_N_START_F = "account-number-start" |
| 36 | +SEQUENCE_START_F = "sequence-number-start" |
| 37 | +QUERIES_F = "q" |
| 38 | + |
| 39 | +TEST_PASSWORD = "test1234" |
| 40 | + |
| 41 | +MODEL_INFO_PREFIX = 1 |
| 42 | +VENDOR_PRODUCTS_PREFIX = 2 |
| 43 | + |
| 44 | + |
| 45 | +def pack_model_info_key(vid, pid): |
| 46 | + return pack('<bhh', MODEL_INFO_PREFIX, vid, pid) |
| 47 | + |
| 48 | + |
| 49 | +def run_shell_cmd(cmd, **kwargs): |
| 50 | + _kwargs = dict( |
| 51 | + check=True, |
| 52 | + universal_newlines=True, |
| 53 | + stdout=subprocess.PIPE, |
| 54 | + stderr=subprocess.PIPE |
| 55 | + ) |
| 56 | + |
| 57 | + _kwargs.update(kwargs) |
| 58 | + |
| 59 | + if not _kwargs.get("shell") and type(cmd) is str: |
| 60 | + cmd = cmd.split() |
| 61 | + |
| 62 | + try: |
| 63 | + return subprocess.run(cmd, **_kwargs) |
| 64 | + except (subprocess.CalledProcessError, FileNotFoundError) as exc: |
| 65 | + raise RuntimeError(f"command '{cmd}' failed: {exc.stderr}") from exc |
| 66 | + |
| 67 | + |
| 68 | +def run_for_json_res(cmd, **kwargs): |
| 69 | + return json.loads(run_shell_cmd(cmd, **kwargs).stdout) |
| 70 | + |
| 71 | + |
| 72 | +def to_cli_args(**kwargs): |
| 73 | + res = [] |
| 74 | + for k, v in kwargs.items(): |
| 75 | + k = "--{}".format(k.replace("_", "-")) |
| 76 | + res.extend([k, str(v)]) |
| 77 | + return res |
| 78 | + |
| 79 | + |
| 80 | +def yaml_dump( |
| 81 | + data, |
| 82 | + stream=None, |
| 83 | + width=1, |
| 84 | + indent=4, |
| 85 | + default_flow_style=False, |
| 86 | + canonical=False, |
| 87 | + **kwargs |
| 88 | +): |
| 89 | + return yaml.safe_dump( |
| 90 | + data, |
| 91 | + stream, |
| 92 | + default_flow_style=default_flow_style, |
| 93 | + canonical=canonical, |
| 94 | + width=width, |
| 95 | + indent=indent, |
| 96 | + **kwargs |
| 97 | + ) |
| 98 | + |
| 99 | + |
| 100 | +def resolve_users(): |
| 101 | + return {u["name"]: u for u in run_for_json_res([DCLCLI, "keys", "list"])} |
| 102 | + |
| 103 | + |
| 104 | +def txn_generate(u_address, txn_t_cls, txn_t_cmd, **params): |
| 105 | + cmd = [DCLCLI, "tx", txn_t_cls, txn_t_cmd] |
| 106 | + params["from"] = u_address |
| 107 | + cmd += to_cli_args(**params) |
| 108 | + cmd.append("--generate-only") |
| 109 | + return run_shell_cmd(cmd).stdout |
| 110 | + |
| 111 | + |
| 112 | +def txn_sign(u_address, account, sequence, f_path): |
| 113 | + cmd = [DCLCLI, "tx", "sign"] |
| 114 | + params = {"from": u_address} |
| 115 | + cmd += to_cli_args( |
| 116 | + account_number=account, sequence=sequence, gas="auto", **params |
| 117 | + ) |
| 118 | + cmd.extend(["--offline", f_path]) |
| 119 | + cmd = f"echo '{TEST_PASSWORD}' | {' '.join(cmd)}" |
| 120 | + return run_shell_cmd(cmd, shell=True).stdout |
| 121 | + |
| 122 | + |
| 123 | +def txn_encode(f_path): |
| 124 | + cmd = [DCLCLI, "tx", "encode", f_path] |
| 125 | + return run_shell_cmd(cmd).stdout |
| 126 | + |
| 127 | + |
| 128 | +ENV_PREFIX = "DCLBENCH_" |
| 129 | + |
| 130 | + |
| 131 | +def main(): |
| 132 | + render_ctx = { |
| 133 | + k.split(ENV_PREFIX)[1].lower(): v |
| 134 | + for k, v in os.environ.items() |
| 135 | + if k.startswith(ENV_PREFIX) |
| 136 | + } |
| 137 | + |
| 138 | + # TODO argument parsing using argparse |
| 139 | + spec_yaml = render(sys.argv[1], ctx=render_ctx) |
| 140 | + spec = yaml.safe_load(spec_yaml) |
| 141 | + |
| 142 | + try: |
| 143 | + out_file = Path(sys.argv[2]).resolve() |
| 144 | + except IndexError: |
| 145 | + out_file = None |
| 146 | + |
| 147 | + account_n_start = spec["defaults"].get( |
| 148 | + ACCOUNT_N_START_F, DEF_ACCOUNT_N_START) |
| 149 | + sequence_start = spec["defaults"].get( |
| 150 | + SEQUENCE_START_F, DEF_SEQUENCE_START) |
| 151 | + |
| 152 | + users = resolve_users() |
| 153 | + |
| 154 | + res = {} |
| 155 | + |
| 156 | + account_n = account_n_start |
| 157 | + with tempfile.TemporaryDirectory() as tmpdirname: |
| 158 | + |
| 159 | + for user, u_data in spec["users"].items(): |
| 160 | + res[user] = [] |
| 161 | + tmp_file = (Path(tmpdirname) / user).resolve() |
| 162 | + |
| 163 | + u_address = users[user]["address"] |
| 164 | + |
| 165 | + sequence = sequence_start |
| 166 | + for q in u_data[QUERIES_F]: |
| 167 | + q_id, q_data = next(iter(q.items())) |
| 168 | + q_cls, q_t, q_cmd = q_id.split("/") |
| 169 | + |
| 170 | + if q_cls == "tx": |
| 171 | + tmp_file.write_text( |
| 172 | + txn_generate(u_address, q_t, q_cmd, **q_data) |
| 173 | + ) |
| 174 | + # XXX by some reason pipe to encode doesn't work |
| 175 | + tmp_file.write_text( |
| 176 | + txn_sign(u_address, account_n, sequence, str(tmp_file)) |
| 177 | + ) |
| 178 | + |
| 179 | + txn_encoded = txn_encode(str(tmp_file)) |
| 180 | + res[user].append(txn_encoded.strip().strip('"')) |
| 181 | + sequence += 1 |
| 182 | + else: |
| 183 | + raise ValueError("Unexpected query class: {q_cls}") |
| 184 | + |
| 185 | + if out_file: |
| 186 | + print(f"User {user}: done") |
| 187 | + |
| 188 | + account_n += 1 |
| 189 | + |
| 190 | + # TODO optimize for big data |
| 191 | + if out_file is None: |
| 192 | + print(yaml_dump(res)) |
| 193 | + else: |
| 194 | + with out_file.open('w') as fd: |
| 195 | + yaml_dump(res, fd) |
| 196 | + |
| 197 | + |
| 198 | +if __name__ == "__main__": |
| 199 | + main() |
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