示例#1
0
    async def request_signatures(
            self, request: harvester_protocol.RequestSignatures):
        """
        The farmer requests a signature on the header hash, for one of the proofs that we found.
        A signature is created on the header hash using the harvester private key. This can also
        be used for pooling.
        """
        plot_filename = Path(request.plot_identifier[64:]).resolve()
        try:
            plot_info = self.harvester.provers[plot_filename]
        except KeyError:
            self.harvester.log.warning(
                f"KeyError plot {plot_filename} does not exist.")
            return

        # Look up local_sk from plot to save locked memory
        (
            pool_public_key_or_puzzle_hash,
            farmer_public_key,
            local_master_sk,
        ) = parse_plot_info(plot_info.prover.get_memo())
        local_sk = master_sk_to_local_sk(local_master_sk)

        agg_pk = ProofOfSpace.generate_plot_public_key(local_sk.get_g1(),
                                                       farmer_public_key)

        # This is only a partial signature. When combined with the farmer's half, it will
        # form a complete PrependSignature.
        message_signatures: List[Tuple[bytes32, G2Element]] = []
        for message in request.messages:
            signature: G2Element = AugSchemeMPL.sign(local_sk, message, agg_pk)
            message_signatures.append((message, signature))

        response: harvester_protocol.RespondSignatures = harvester_protocol.RespondSignatures(
            request.plot_identifier,
            request.challenge_hash,
            request.sp_hash,
            local_sk.get_g1(),
            farmer_public_key,
            message_signatures,
        )

        return make_msg(ProtocolMessageTypes.respond_signatures, response)
示例#2
0
        def blocking_lookup(filename: Path, plot_info: PlotInfo) -> List[Tuple[bytes32, ProofOfSpace]]:
            # Uses the DiskProver object to lookup qualities. This is a blocking call,
            # so it should be run in a thread pool.
            try:
                sp_challenge_hash = ProofOfSpace.calculate_pos_challenge(
                    plot_info.prover.get_id(),
                    new_challenge.challenge_hash,
                    new_challenge.sp_hash,
                )
                try:
                    quality_strings = plot_info.prover.get_qualities_for_challenge(sp_challenge_hash)
                except Exception as e:
                    self.harvester.log.error(f"Error using prover object {e}")
                    return []

                responses: List[Tuple[bytes32, ProofOfSpace]] = []
                if quality_strings is not None:
                    # Found proofs of space (on average 1 is expected per plot)
                    for index, quality_str in enumerate(quality_strings):
                        required_iters: uint64 = calculate_iterations_quality(
                            self.harvester.constants.DIFFICULTY_CONSTANT_FACTOR,
                            quality_str,
                            plot_info.prover.get_size(),
                            new_challenge.difficulty,
                            new_challenge.sp_hash,
                        )
                        sp_interval_iters = calculate_sp_interval_iters(
                            self.harvester.constants, new_challenge.sub_slot_iters
                        )
                        if required_iters < sp_interval_iters:
                            # Found a very good proof of space! will fetch the whole proof from disk,
                            # then send to farmer
                            try:
                                proof_xs = plot_info.prover.get_full_proof(sp_challenge_hash, index)
                            except RuntimeError:
                                self.harvester.log.error(f"Exception fetching full proof for {filename}")
                                continue

                            # Look up local_sk from plot to save locked memory
                            (
                                pool_public_key_or_puzzle_hash,
                                farmer_public_key,
                                local_master_sk,
                            ) = parse_plot_info(plot_info.prover.get_memo())
                            local_sk = master_sk_to_local_sk(local_master_sk)
                            plot_public_key = ProofOfSpace.generate_plot_public_key(
                                local_sk.get_g1(), farmer_public_key
                            )
                            responses.append(
                                (
                                    quality_str,
                                    ProofOfSpace(
                                        sp_challenge_hash,
                                        plot_info.pool_public_key,
                                        plot_info.pool_contract_puzzle_hash,
                                        plot_public_key,
                                        uint8(plot_info.prover.get_size()),
                                        proof_xs,
                                    ),
                                )
                            )
                return responses
            except Exception as e:
                self.harvester.log.error(f"Unknown error: {e}")
                return []
示例#3
0
def check_plots(root_path, num, challenge_start, grep_string, list_duplicates,
                debug_show_memo):
    config = load_config(root_path, "config.yaml")
    if num is not None:
        if num == 0:
            log.warning("Not opening plot files")
        else:
            if num < 5:
                log.warning(
                    f"{num} challenges is too low, setting it to the minimum of 5"
                )
                num = 5
            if num < 30:
                log.warning(
                    "Use 30 challenges (our default) for balance of speed and accurate results"
                )
    else:
        num = 30

    if challenge_start is not None:
        num_start = challenge_start
        num_end = num_start + num
    else:
        num_start = 0
        num_end = num
    challenges = num_end - num_start

    if grep_string is not None:
        match_str = grep_string
    else:
        match_str = None
    if list_duplicates:
        log.warning("Checking for duplicate Plot IDs")
        log.info("Plot filenames expected to end with -[64 char plot ID].plot")

    show_memo: bool = debug_show_memo

    if list_duplicates:
        plot_filenames: Dict[Path, List[Path]] = get_plot_filenames(
            config["harvester"])
        all_filenames: List[Path] = []
        for paths in plot_filenames.values():
            all_filenames += paths
        find_duplicate_plot_IDs(all_filenames)

    if num == 0:
        return

    v = Verifier()
    log.info("Loading plots in config.yaml using plot_tools loading code\n")
    kc: Keychain = Keychain()
    pks = [
        master_sk_to_farmer_sk(sk).get_g1()
        for sk, _ in kc.get_all_private_keys()
    ]
    pool_public_keys = [
        G1Element.from_bytes(bytes.fromhex(pk))
        for pk in config["farmer"]["pool_public_keys"]
    ]
    _, provers, failed_to_open_filenames, no_key_filenames = load_plots(
        {},
        {},
        pks,
        pool_public_keys,
        match_str,
        show_memo,
        root_path,
        open_no_key_filenames=True,
    )
    if len(provers) > 0:
        log.info("")
        log.info("")
        log.info(f"Starting to test each plot with {num} challenges each\n")
    total_good_plots: Counter = Counter()
    total_bad_plots = 0
    total_size = 0
    bad_plots_list: List[Path] = []

    for plot_path, plot_info in provers.items():
        pr = plot_info.prover
        log.info(f"Testing plot {plot_path} k={pr.get_size()}")
        log.info(f"\tPool public key: {plot_info.pool_public_key}")

        # Look up local_sk from plot to save locked memory
        (
            pool_public_key_or_puzzle_hash,
            farmer_public_key,
            local_master_sk,
        ) = parse_plot_info(pr.get_memo())
        local_sk = master_sk_to_local_sk(local_master_sk)
        log.info(f"\tFarmer public key: {farmer_public_key}")
        log.info(f"\tLocal sk: {local_sk}")
        total_proofs = 0
        caught_exception: bool = False
        for i in range(num_start, num_end):
            challenge = std_hash(i.to_bytes(32, "big"))
            # Some plot errors cause get_qualities_for_challenge to throw a RuntimeError
            try:
                for index, quality_str in enumerate(
                        pr.get_qualities_for_challenge(challenge)):
                    # Other plot errors cause get_full_proof or validate_proof to throw an AssertionError
                    try:
                        proof = pr.get_full_proof(challenge, index)
                        total_proofs += 1
                        ver_quality_str = v.validate_proof(
                            pr.get_id(), pr.get_size(), challenge, proof)
                        assert quality_str == ver_quality_str
                    except AssertionError as e:
                        log.error(
                            f"{type(e)}: {e} error in proving/verifying for plot {plot_path}"
                        )
                        caught_exception = True
            except BaseException as e:
                if isinstance(e, KeyboardInterrupt):
                    log.warning("Interrupted, closing")
                    return
                log.error(
                    f"{type(e)}: {e} error in getting challenge qualities for plot {plot_path}"
                )
                caught_exception = True
            if caught_exception is True:
                break
        if total_proofs > 0 and caught_exception is False:
            log.info(
                f"\tProofs {total_proofs} / {challenges}, {round(total_proofs/float(challenges), 4)}"
            )
            total_good_plots[pr.get_size()] += 1
            total_size += plot_path.stat().st_size
        else:
            total_bad_plots += 1
            log.error(
                f"\tProofs {total_proofs} / {challenges}, {round(total_proofs/float(challenges), 4)}"
            )
            bad_plots_list.append(plot_path)
    log.info("")
    log.info("")
    log.info("Summary")
    total_plots: int = sum(list(total_good_plots.values()))
    log.info(
        f"Found {total_plots} valid plots, total size {total_size / (1024 * 1024 * 1024 * 1024):.5f} TiB"
    )
    for (k, count) in sorted(dict(total_good_plots).items()):
        log.info(f"{count} plots of size {k}")
    grand_total_bad = total_bad_plots + len(failed_to_open_filenames)
    if grand_total_bad > 0:
        log.warning(f"{grand_total_bad} invalid plots found:")
        for bad_plot_path in bad_plots_list:
            log.warning(f"{bad_plot_path}")
    if len(no_key_filenames) > 0:
        log.warning(
            f"There are {len(no_key_filenames)} plots with a farmer or pool public key that "
            f"is not on this machine. The farmer private key must be in the keychain in order to "
            f"farm them, use 'chia keys' to transfer keys. The pool public keys must be in the config.yaml"
        )